Triple

T12087608
Position Surface form Disambiguated ID Type / Status
Subject Critters 4 E287847 entity
Predicate stars P1956 FINISHED
Object Terrence Mann E285521 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: Terrence Mann | Statement: [Critters 4, stars, Terrence Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrence Mann
Context triple: [Critters 4, stars, Terrence Mann]
  • A. Terrence Mann chosen
    Terrence Mann is an American actor and singer best known for his work on Broadway and in genre films and television, including notable roles in musical theatre and science fiction/fantasy projects.
  • B. Joel O’Brien
    Joel O’Brien is a musician known for his work featured on the album "Tapestry."
  • C. Justin Haythe
    Justin Haythe is a British-American screenwriter and novelist known for adapting literary works into acclaimed films such as "Revolutionary Road" and "A Cure for Wellness."
  • D. Joel McNeely
    Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
  • E. Joel Carriere
    Joel Carriere is a Canadian music industry executive and entrepreneur best known as the founder of the independent record label Dine Alone Records.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f668eff88190877ce9bb991c1258 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.