Triple

T17176043
Position Surface form Disambiguated ID Type / Status
Subject Christian (Moulin Rouge!) E416860 entity
Predicate portrayedBy P1507 FINISHED
Object Aaron Tveit E228454 NE FINISHED

How this triple was built (2 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: Aaron Tveit | Statement: [Christian (Moulin Rouge!), portrayedBy, Aaron Tveit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Tveit
Context triple: [Christian (Moulin Rouge!), portrayedBy, Aaron Tveit]
  • A. Aaron Tveit chosen
    Aaron Tveit is an American actor and singer best known for his work in Broadway musicals such as Next to Normal and Catch Me If You Can, as well as screen roles in projects like Les Misérables and the TV series Graceland.
  • B. Sam Witwer
    Sam Witwer is an American actor and voice actor best known to Star Wars fans for portraying characters like Darth Maul across various animated series and games.
  • C. Aaron David Johnson
    Aaron David Johnson is an actor known for his role in the film "Detention."
  • D. Michael Konyves
    Michael Konyves is a Canadian screenwriter best known for adapting Mordecai Richler’s novel into the acclaimed film "Barney’s Version."
  • E. Iain De Caestecker
    Iain De Caestecker is a Scottish actor best known for his role as Leo Fitz in the Marvel television series "Agents of S.H.I.E.L.D."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0cec448190b30466628a2ff23f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.