Triple

T1185659
Position Surface form Disambiguated ID Type / Status
Subject Elliott E25238 entity
Predicate hasNotableBearer P458 FINISHED
Object Elliott Gould E135865 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: Elliott Gould | Statement: [Elliott, hasNotableBearer, Elliott Gould]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elliott Gould
Context triple: [Elliott, hasNotableBearer, Elliott Gould]
  • A. Elliott Gould chosen
    Elliott Gould is an American actor known for his roles in films such as "M*A*S*H," "Bob & Carol & Ted & Alice," and the "Ocean's Eleven" series.
  • B. Ned Beatty
    Ned Beatty was an acclaimed American character actor known for his powerful supporting roles in films such as "Deliverance," "Network," and "Superman."
  • C. Eric Roberts
    Eric Roberts is an American actor known for his prolific film and television career, including an iconic turn as the villainous Time Lord known as the Master in the 1996 Doctor Who TV movie.
  • D. Dustin Hoffman
    Dustin Hoffman is an acclaimed American actor renowned for his versatile, character-driven performances in films such as "The Graduate," "Midnight Cowboy," and "Rain Man."
  • E. Roy Scheider
    Roy Scheider was an American actor best known for his intense, everyman performances in films such as "The French Connection," "All That Jazz," and "Jaws."
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd39245881908766c41943dc2752 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbadb9758819097fd03d59ad95367 completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:45 p.m.