Triple

T5589143
Position Surface form Disambiguated ID Type / Status
Subject Greg Warner E146831 entity
Predicate portrayedBy P1507 FINISHED
Object Anthony Clark E540573 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: Anthony Clark | Statement: [Greg Warner, portrayedBy, Anthony Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Clark
Context triple: [Greg Warner, portrayedBy, Anthony Clark]
  • A. Anthony Clark chosen
    Anthony Clark is an American stand-up comedian and actor best known for starring in the sitcom "Yes, Dear."
  • B. Curtiss Clayton
    Curtiss Clayton is an American film editor known for his work on independent and art-house films, including the cult favorite "Buffalo ’66."
  • C. Dane Clark
    Dane Clark was an American film and television actor known for his tough, working-class persona in numerous 1940s and 1950s Hollywood dramas and war movies.
  • D. Len Williams
    Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
  • E. Darryl Hickman
    Darryl Hickman is an American former child actor and film and television performer known for roles in classic Hollywood films and later work as a television executive and acting coach.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209ff5d88190843b6d134390ab71 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.