Triple

T2459575
Position Surface form Disambiguated ID Type / Status
Subject A Soldier's Story E54498 entity
Predicate starredActor P5563 FINISHED
Object William Allen Young E244608 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: William Allen Young | Statement: [A Soldier's Story, starredActor, William Allen Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Allen Young
Context triple: [A Soldier's Story, starredActor, William Allen Young]
  • A. William Allen Young chosen
    William Allen Young is an American actor and director best known for his television roles on series such as "Moesha" and "Code Black."
  • B. Charles Jerome Daly
    Charles Jerome Daly was an American basketball coach best known for leading the Detroit Pistons to back-to-back NBA championships and coaching the 1992 U.S. Olympic "Dream Team."
  • C. Ogden Mills Reid
    Ogden Mills Reid was an American newspaper publisher who led the New York Herald Tribune and was part of the influential Reid media family.
  • D. Otis Harlan
    Otis Harlan was an American actor and comedian best known for his early film and stage work during the silent and early sound eras.
  • E. Sidney Badgley
    Sidney Badgley was a Canadian-born architect known for designing prominent churches and public buildings across North America in the late 19th and early 20th centuries.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10a35f88190b102a2cb5c88146e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf36e2848190a03ca375d802241c completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:44 p.m.