Triple

T16931674
Position Surface form Disambiguated ID Type / Status
Subject Roy Roberts E410723 entity
Predicate name P16 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: [Roy Roberts, name, Roy Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Roberts
Context triple: [Roy Roberts, name, 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. Roy Roberts
    Roy Roberts was a costume designer known for his work on classic Hollywood films, including the 1938 adaptation of "Rebecca of Sunnybrook Farm."
  • C. 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.
  • D. Chuck Roberson
    Chuck Roberson was an American stuntman and character actor best known for his long association with John Wayne in numerous Western films.
  • E. Ron Cooke
    Ron Cooke is a British academic and geographer best known for serving as Vice-Chancellor of the University of York and for his contributions to higher education and urban regeneration.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf25a6dc8190a2b9d9c4d2adc5fd completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45c32a08190970137790d08f499 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:30 a.m.