Triple

T15676534
Position Surface form Disambiguated ID Type / Status
Subject Lara Fabian E377456 entity
Predicate notableCollaboration P8554 FINISHED
Object Garry Schyman E912331 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: Garry Schyman | Statement: [Lara Fabian, notableCollaboration, Garry Schyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garry Schyman
Context triple: [Lara Fabian, notableCollaboration, Garry Schyman]
  • A. Garry Schyman chosen
    Garry Schyman is an American composer best known for his award-winning music for video games such as the BioShock series and Middle-earth: Shadow of War.
  • B. Martin Bregman
    Martin Bregman was an American film producer best known for producing iconic crime dramas such as "Serpico," "Dog Day Afternoon," and "Scarface."
  • C. Robert Tomarkin
    Robert Tomarkin was the husband of Academy Award–winning American actress Dorothy Malone.
  • D. Jules Bass
    Jules Bass was an American director, producer, and writer best known for his work on classic stop-motion and animated holiday television specials created with Rankin/Bass Productions.
  • E. Victor Schertzinger
    Victor Schertzinger was an American film director, composer, and musician active in the early 20th century, known for his work on Hollywood musicals and comedies.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2e10a4819097eba1ea31e36ac2 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee0446881909e9c2504d51d49a3 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.