Triple

T10981509
Position Surface form Disambiguated ID Type / Status
Subject Cecil Parker E259517 entity
Predicate name P16 FINISHED
Object Cecil Parker E259517 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: Cecil Parker | Statement: [Cecil Parker, name, Cecil Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cecil Parker
Context triple: [Cecil Parker, name, Cecil Parker]
  • A. Cecil Parker chosen
    Cecil Parker was a distinguished English character actor known for his suave, often pompous roles in mid-20th-century British and Hollywood films.
  • B. Cecil Reed
    Cecil Reed was a party in the landmark U.S. Supreme Court case Reed v. Reed, which for the first time held that laws discriminating on the basis of sex violated the Equal Protection Clause.
  • C. Cecil Cunningham
    Cecil Cunningham was an American character actress known for her sharp-tongued, comedic supporting roles in Hollywood films of the 1930s and 1940s.
  • D. Cecil Hopkinson
    Cecil Hopkinson was a British bibliographer and collector best known for his authoritative bibliographies of the works of W.B. Yeats and other modern authors.
  • E. Cecil Poynton
    Cecil Poynton was an English footballer and long-serving full-back for Tottenham Hotspur during the early 20th century.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ea940c8190ab3e62e89244f954 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344c77d6c8190a9b5e2cc967fb031 completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.