Triple

T14535466
Position Surface form Disambiguated ID Type / Status
Subject Tom Shadyac E341032 entity
Predicate familyName P18 FINISHED
Object Shadyac E341032 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: Shadyac | Statement: [Tom Shadyac, familyName, Shadyac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadyac
Context triple: [Tom Shadyac, familyName, Shadyac]
  • A. Jonathan Levine
    Jonathan Levine is an American film director and screenwriter known for character-driven comedies and dramedies such as 50/50 and Warm Bodies.
  • B. Tom Shadyac chosen
    Tom Shadyac is an American film director, producer, and screenwriter best known for directing hit comedies such as Ace Ventura: Pet Detective, Liar Liar, and Bruce Almighty.
  • C. Will Speck
    Will Speck is an American film director best known for co-directing mainstream comedies such as "Blades of Glory" and "Office Christmas Party."
  • D. Ron Gans
    Ron Gans was an American voice actor best known for his work in animation and television, including voicing characters in the Winnie the Pooh franchise.
  • E. Ruben Fleischer
    Ruben Fleischer is an American film director and producer best known for helming movies such as "Zombieland," "Venom," and other major Hollywood action-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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a589d488190b4a192f33d11092d completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.