Triple

T2123468
Position Surface form Disambiguated ID Type / Status
Subject Greene E43976 entity
Predicate hasNotableBearer P458 FINISHED
Object Lorne Greene E229602 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: Lorne Greene | Statement: [Greene, hasNotableBearer, Lorne Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorne Greene
Context triple: [Greene, hasNotableBearer, Lorne Greene]
  • A. Lorne Greene chosen
    Lorne Greene was a Canadian actor best known for his role as patriarch Ben Cartwright on the classic television western series "Bonanza."
  • B. Gene Raymond
    Gene Raymond was an American film and television actor, director, and composer active from the 1930s through the 1950s, known for his leading-man roles in Hollywood dramas and musicals.
  • C. Peter D. Graves
    Peter D. Graves is a film producer best known for his work on major Hollywood action and science fiction movies, including Terminator Salvation.
  • D. Ralph Nelson
    Ralph Nelson was an American film and television director, producer, and writer known for works such as "Lilies of the Field" and "Requiem for a Heavyweight."
  • E. David Wayne
    David Wayne was an American character actor known for his versatile performances in film, television, and theater from the 1940s through the 1980s.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb5445848190bbc6dc1236e9f749 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6aec3694819090d0e7cf02944aa3 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:44 p.m.