Triple
T23500361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis X. Bushman |
E571820
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Romeo and Juliet (1916 film) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Romeo and Juliet (1916 film) | Statement: [Francis X. Bushman, notableWork, Romeo and Juliet (1916 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romeo and Juliet (1916 film) Context triple: [Francis X. Bushman, notableWork, Romeo and Juliet (1916 film)]
-
A.
Romeo and Juliet (1936 film)
Romeo and Juliet (1936 film) is a 1936 MGM adaptation of Shakespeare’s tragedy, directed by George Cukor and noted for its lavish production and star-studded cast.
-
B.
Romeo and Juliet (1954 film)
Romeo and Juliet (1954 film) is a British-Italian adaptation of Shakespeare’s tragic romance, noted for its faithful rendering of the play and its lush, period-accurate production.
-
C.
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.
-
D.
Romeo & Juliet (2013 film)
Romeo & Juliet (2013 film) is a romantic drama adaptation of William Shakespeare’s classic tragedy, featuring a traditional period setting and an original score by composer Abel Korzeniowski.
-
E.
Romeo and Juliet with Margot Fonteyn
"Romeo and Juliet with Margot Fonteyn" is a celebrated ballet production of Prokofiev’s Romeo and Juliet, renowned for featuring the legendary partnership of Rudolf Nureyev and Margot Fonteyn in the title roles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Romeo and Juliet (1916 film) Target entity description: Romeo and Juliet (1916 film) is a silent American adaptation of Shakespeare’s tragedy, notable for starring Francis X. Bushman and Beverly Bayne in the title roles.
-
A.
Romeo and Juliet (1936 film)
Romeo and Juliet (1936 film) is a 1936 MGM adaptation of Shakespeare’s tragedy, directed by George Cukor and noted for its lavish production and star-studded cast.
-
B.
Romeo and Juliet (1954 film)
Romeo and Juliet (1954 film) is a British-Italian adaptation of Shakespeare’s tragic romance, noted for its faithful rendering of the play and its lush, period-accurate production.
-
C.
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.
-
D.
Romeo & Juliet (2013 film)
Romeo & Juliet (2013 film) is a romantic drama adaptation of William Shakespeare’s classic tragedy, featuring a traditional period setting and an original score by composer Abel Korzeniowski.
-
E.
Romeo and Juliet with Margot Fonteyn
"Romeo and Juliet with Margot Fonteyn" is a celebrated ballet production of Prokofiev’s Romeo and Juliet, renowned for featuring the legendary partnership of Rudolf Nureyev and Margot Fonteyn in the title roles.
- F. None of above. chosen
Provenance (2 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fc37908190af86a01ab85737d6 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.