Triple

T8346296
Position Surface form Disambiguated ID Type / Status
Subject Fred Williamson E196043 entity
Predicate name P16 FINISHED
Object Fred Williamson E196043 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: Fred Williamson | Statement: [Fred Williamson, name, Fred Williamson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Williamson
Context triple: [Fred Williamson, name, Fred Williamson]
  • A. Fred Williamson chosen
    Fred Williamson is an American actor and former professional football player best known for his roles in 1970s blaxploitation films and numerous action and genre movies.
  • B. Bruce Williamson
    Bruce Williamson was an American R&B and soul singer best known as a later-era lead vocalist for the legendary Motown group The Temptations.
  • C. Jack B. Sowards
    Jack B. Sowards was an American screenwriter best known for writing the screenplay for the film Star Trek II: The Wrath of Khan.
  • D. Glen Tullman
    Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
  • E. Robert Lynn Williamson
    Robert Lynn Williamson was an American tobacco executive best known as a founder of the major cigarette manufacturer Brown & Williamson.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8013d81c81908da48466cffb3939 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1cfe284081909410e023c44c7472 completed April 2, 2026, 7:38 a.m.
Created at: March 30, 2026, 5:58 p.m.