Triple

T15008520
Position Surface form Disambiguated ID Type / Status
Subject They Came Together E377772 entity
Predicate castMember P1668 FINISHED
Object Jack McBrayer E235643 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: Jack McBrayer | Statement: [They Came Together, castMember, Jack McBrayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack McBrayer
Context triple: [They Came Together, castMember, Jack McBrayer]
  • A. Jack McBrayer chosen
    Jack McBrayer is an American actor and comedian best known for his Emmy-nominated role as the cheerful NBC page Kenneth Parcell on the television series "30 Rock."
  • B. John Brydon
    John Brydon was a British architect of the late 19th and early 20th centuries, known for designing prominent public buildings in London.
  • C. Rob Corddry
    Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
  • D. Nate Corddry
    Nate Corddry is an American actor and comedian known for his television work, including prominent roles in series such as "Studio 60 on the Sunset Strip" and "Mom."
  • E. Michael Urie
    Michael Urie is an American actor best known for his role as Marc St. James on the television series "Ugly Betty" and for his extensive work in theater and film.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded73348d4819091d9e7f1b0fed822 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae080ef88190a26c4f9b1675f9de completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:55 a.m.