Triple
T11138841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debbie Wiseman |
E263485
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Wilde (score)
"Wilde (score)" is Debbie Wiseman’s orchestral film soundtrack composed for the 1997 biographical drama about writer Oscar Wilde.
|
E907456
|
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: Wilde (score) | Statement: [Debbie Wiseman, notableWork, Wilde (score)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilde (score) Context triple: [Debbie Wiseman, notableWork, Wilde (score)]
-
A.
Wilder
Wilder is a common English surname borne by various notable figures in literature, film, and other fields.
-
B.
Broadway Bill
Broadway Bill is a 1934 American comedy film, co-written by Robert Riskin and Frank Capra, about a businessman who risks everything to race his beloved horse.
-
C.
Madame
Madame was the popular nickname of Henrietta of England, Duchess of Orléans, a 17th-century English princess who became a prominent figure at the French court of Louis XIV.
-
D.
Madame
Madame is a French honorific title historically used for high-ranking women, particularly married women of the nobility or royalty.
-
E.
The Great Waltz
The Great Waltz is a 1938 musical biographical film about composer Johann Strauss II, renowned for its lavish production and celebrated cinematography.
- 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: Wilde (score) Triple: [Debbie Wiseman, notableWork, Wilde (score)]
Generated description
"Wilde (score)" is Debbie Wiseman’s orchestral film soundtrack composed for the 1997 biographical drama about writer Oscar Wilde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilde (score) Target entity description: "Wilde (score)" is Debbie Wiseman’s orchestral film soundtrack composed for the 1997 biographical drama about writer Oscar Wilde.
-
A.
Wilder
Wilder is a common English surname borne by various notable figures in literature, film, and other fields.
-
B.
Broadway Bill
Broadway Bill is a 1934 American comedy film, co-written by Robert Riskin and Frank Capra, about a businessman who risks everything to race his beloved horse.
-
C.
Madame
Madame was the popular nickname of Henrietta of England, Duchess of Orléans, a 17th-century English princess who became a prominent figure at the French court of Louis XIV.
-
D.
Madame
Madame is a French honorific title historically used for high-ranking women, particularly married women of the nobility or royalty.
-
E.
The Great Waltz
The Great Waltz is a 1938 musical biographical film about composer Johann Strauss II, renowned for its lavish production and celebrated cinematography.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e442030b588190bc958030f30b648a |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09dd5c8190bddf3dd109a639ba |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e451274ce48190a05f1d37f972c36c |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 8, 2026, 9:28 p.m.