Triple
T5182947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Taming of the Shrew |
E116962
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object |
The Taming of the Shrew (1967 film)
The Taming of the Shrew (1967 film) is a British-Italian screen adaptation of Shakespeare’s comedy, directed by Franco Zeffirelli and starring Elizabeth Taylor and Richard Burton.
|
E500711
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Taming of the Shrew (1967 film) | Statement: [The Taming of the Shrew, hasAdaptation, The Taming of the Shrew (1967 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Taming of the Shrew (1967 film) Context triple: [The Taming of the Shrew, hasAdaptation, The Taming of the Shrew (1967 film)]
-
A.
Much Ado About Nothing (1993 film)
Much Ado About Nothing (1993 film) is a 1993 romantic comedy adaptation of Shakespeare’s play, directed by and starring Kenneth Branagh alongside an ensemble cast.
-
B.
Romeo and Juliet (1968 film)
Romeo and Juliet (1968 film) is Franco Zeffirelli’s acclaimed, Oscar-winning adaptation of Shakespeare’s tragic love story, noted for its youthful cast, lush cinematography, and enduring cultural impact.
-
C.
The Taming of the Shrew
The Taming of the Shrew is a comedic play by William Shakespeare that explores themes of marriage, gender roles, and social hierarchy through the contentious courtship of the strong-willed Katherina and the domineering Petruchio.
-
D.
Much Ado About Nothing
Much Ado About Nothing is a comedic play by William Shakespeare that centers on witty banter, romantic misunderstandings, and schemes involving two couples in the Italian town of Messina.
-
E.
Scenes from a Marriage
Scenes from a Marriage is a television miniseries adaptation of Ingmar Bergman’s classic drama that explores the complexities of a deteriorating relationship, notably starring Oscar Isaac.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Taming of the Shrew (1967 film) Triple: [The Taming of the Shrew, hasAdaptation, The Taming of the Shrew (1967 film)]
Generated description
The Taming of the Shrew (1967 film) is a British-Italian screen adaptation of Shakespeare’s comedy, directed by Franco Zeffirelli and starring Elizabeth Taylor and Richard Burton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Taming of the Shrew (1967 film) Target entity description: The Taming of the Shrew (1967 film) is a British-Italian screen adaptation of Shakespeare’s comedy, directed by Franco Zeffirelli and starring Elizabeth Taylor and Richard Burton.
-
A.
Much Ado About Nothing (1993 film)
Much Ado About Nothing (1993 film) is a 1993 romantic comedy adaptation of Shakespeare’s play, directed by and starring Kenneth Branagh alongside an ensemble cast.
-
B.
Romeo and Juliet (1968 film)
Romeo and Juliet (1968 film) is Franco Zeffirelli’s acclaimed, Oscar-winning adaptation of Shakespeare’s tragic love story, noted for its youthful cast, lush cinematography, and enduring cultural impact.
-
C.
The Taming of the Shrew
The Taming of the Shrew is a comedic play by William Shakespeare that explores themes of marriage, gender roles, and social hierarchy through the contentious courtship of the strong-willed Katherina and the domineering Petruchio.
-
D.
Much Ado About Nothing
Much Ado About Nothing is a comedic play by William Shakespeare that centers on witty banter, romantic misunderstandings, and schemes involving two couples in the Italian town of Messina.
-
E.
Scenes from a Marriage
Scenes from a Marriage is a television miniseries adaptation of Ingmar Bergman’s classic drama that explores the complexities of a deteriorating relationship, notably starring Oscar Isaac.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799d50388190bf2b7dfdd90949e9 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0815d848190bacd5ec6a778d91e |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee58e4c748190bc216bd68c70e863 |
completed | March 21, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee631b5e081908da0d0ffed1ff6b3 |
completed | March 21, 2026, 6:40 p.m. |
Created at: March 20, 2026, 1:46 p.m.