Triple

T15063805
Position Surface form Disambiguated ID Type / Status
Subject Pet Sematary II E379703 entity
Predicate editedBy P1954 FINISHED
Object Tom Finan E702924 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: Tom Finan | Statement: [Pet Sematary II, editedBy, Tom Finan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Finan
Context triple: [Pet Sematary II, editedBy, Tom Finan]
  • A. Tom Finan chosen
    Tom Finan is a film editor best known for his work on animated features such as Disney's "The Emperor's New Groove."
  • B. Tom Fitzgerald
    Tom Fitzgerald is an American former NHL player and current ice hockey executive who serves as the general manager of the New Jersey Devils.
  • C. James Finlayson
    James Finlayson was a Scottish-born character actor best known for his comic roles in silent and early sound films, particularly his frequent collaborations with the comedy duo Laurel and Hardy.
  • D. Michael Fitzgerald
    Michael Fitzgerald is a film producer known for his work on acclaimed independent and art-house movies, including collaborations with prominent directors like Tommy Lee Jones.
  • E. Michael O’Rourke
    Michael O’Rourke is best known as the father of the late child actress Heather O’Rourke, who starred in the "Poltergeist" film series.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c8b3ac8190b8fc921b6e6eeed5 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.