Triple

T12530620
Position Surface form Disambiguated ID Type / Status
Subject L'Appartement E299552 entity
Predicate screenplayBy P15305 FINISHED
Object Dominique Brunner
Dominique Brunner is a screenwriter best known for writing the screenplay of the film "L'Appartement."
E989999 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: Dominique Brunner | Statement: [L'Appartement, screenplayBy, Dominique Brunner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominique Brunner
Context triple: [L'Appartement, screenplayBy, Dominique Brunner]
  • A. Dominique La Rue
    Dominique La Rue is a seductive and cunning nightclub singer and con artist in the 1989 crime-comedy film "Harlem Nights."
  • B. Dominique Ziegler
    Dominique Ziegler is a Swiss playwright and theater director known for his contemporary works and contributions to French-language theater.
  • C. Dominique Engerer
    Dominique Engerer was a renowned French classical pianist celebrated for her expressive interpretations and international concert career.
  • D. Dominique Gisin
    Dominique Gisin is a Swiss alpine ski racer best known for winning the gold medal in the women's downhill at the 2014 Winter Olympics in Sochi.
  • E. Mathis Lussy
    Mathis Lussy was a 19th-century Swiss music theorist and pedagogue known for his influential writings on musical expression and performance.
  • 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: Dominique Brunner
Triple: [L'Appartement, screenplayBy, Dominique Brunner]
Generated description
Dominique Brunner is a screenwriter best known for writing the screenplay of the film "L'Appartement."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dominique Brunner
Target entity description: Dominique Brunner is a screenwriter best known for writing the screenplay of the film "L'Appartement."
  • A. Dominique La Rue
    Dominique La Rue is a seductive and cunning nightclub singer and con artist in the 1989 crime-comedy film "Harlem Nights."
  • B. Dominique Ziegler
    Dominique Ziegler is a Swiss playwright and theater director known for his contemporary works and contributions to French-language theater.
  • C. Dominique Engerer
    Dominique Engerer was a renowned French classical pianist celebrated for her expressive interpretations and international concert career.
  • D. Dominique Gisin
    Dominique Gisin is a Swiss alpine ski racer best known for winning the gold medal in the women's downhill at the 2014 Winter Olympics in Sochi.
  • E. Mathis Lussy
    Mathis Lussy was a 19th-century Swiss music theorist and pedagogue known for his influential writings on musical expression and performance.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655762ae88190ab41e23bbd65c566 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566e7bf88190a33c609caf9b4f3d completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.