Triple

T4663601
Position Surface form Disambiguated ID Type / Status
Subject All American E102791 entity
Predicate developer P73 FINISHED
Object April Blair E575010 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: April Blair | Statement: [All American, developer, April Blair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: April Blair
Context triple: [All American, developer, April Blair]
  • A. April Blair chosen
    April Blair is an American television writer and producer best known for developing and executive producing the drama series "All American."
  • B. Betsy Blair
    Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
  • C. April Wheeler
    April Wheeler is a disillusioned 1950s suburban housewife whose frustrated ambitions and deteriorating marriage drive the central tragedy of Richard Yates’s novel "Revolutionary Road."
  • D. Betsy McCaughey
    Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
  • E. Patricia Scott
    Patricia Scott was the first wife of acclaimed film and theater director Mike Nichols.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6536fc20c81909b6c57d559880877 completed March 27, 2026, 9:52 a.m.
Created at: March 20, 2026, 1:15 p.m.