Triple

T5286760
Position Surface form Disambiguated ID Type / Status
Subject David and Lisa E119636 entity
Predicate starring P1507 FINISHED
Object Clifton James E248286 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: Clifton James | Statement: [David and Lisa, starring, Clifton James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clifton James
Context triple: [David and Lisa, starring, Clifton James]
  • A. Clifton James chosen
    Clifton James was an American character actor best known for his comic portrayals of Southern lawmen in films such as the James Bond movies Live and Let Die and The Man with the Golden Gun.
  • B. Ronnie Knox
    Ronnie Knox was an American football quarterback active in the 1950s, known for his college career at UCLA and California and a brief stint in the NFL and CFL.
  • C. John Cliff
    John Cliff was an American character actor known for his supporting roles in numerous mid-20th-century Western films and television series.
  • D. Larry James
    Larry James was an American sprinter best known for winning gold and silver medals in the 400 meters and 4×400-meter relay at the 1968 Mexico City Olympics.
  • E. Steuart Pittman
    Steuart Pittman is a Maryland politician who serves as the county executive of Anne Arundel County, focusing on issues such as responsible development, environmental protection, and public services.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84d9a0788190a4a85a9cab07903f completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e98e48819091c666cf7872a7f8 completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.