Triple

T9795413
Position Surface form Disambiguated ID Type / Status
Subject A Kind of Stopwatch E237704 entity
Predicate castMember P1668 FINISHED
Object Roy Roberts E410723 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: Roy Roberts | Statement: [A Kind of Stopwatch, castMember, Roy Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Roberts
Context triple: [A Kind of Stopwatch, castMember, Roy Roberts]
  • A. Roy Roberts chosen
    Roy Roberts was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often portraying authority figures such as businessmen, military officers, and lawmen.
  • B. Russell Carpenter
    Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
  • C. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • D. Ray Snyder
    Ray Snyder was a film editor known for his work on early 20th-century serials such as "The Hurricane Express."
  • E. Reg Rogers
    Reg Rogers is an American character actor known for his work in film, television, and theater, often portraying eccentric or villainous roles.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34916dc8190acef2ba003e56a33 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1eac78b1881908e77c3678f98fac9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:28 p.m.