Triple

T6704983
Position Surface form Disambiguated ID Type / Status
Subject Norm Nixon E152977 entity
Predicate name P16 FINISHED
Object Norm Nixon E152977 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: Norm Nixon | Statement: [Norm Nixon, name, Norm Nixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norm Nixon
Context triple: [Norm Nixon, name, Norm Nixon]
  • A. Norm Nixon chosen
    Norm Nixon is a former American professional basketball point guard best known for winning two NBA championships with the Los Angeles Lakers in the early 1980s.
  • B. Tricia Nixon Cox
    Tricia Nixon Cox is the elder daughter of former U.S. President Richard Nixon, known for her prominent role as a White House hostess and her highly publicized 1971 Rose Garden wedding.
  • C. Betty Shannon
    Betty Shannon was an American mathematician and computer programmer known for her work at Bell Labs and as the wife and intellectual partner of information theory pioneer Claude Shannon.
  • D. Judy Agnew
    Judy Agnew was the wife of U.S. Vice President Spiro T. Agnew and served as Second Lady of the United States from 1969 to 1973.
  • E. Carol Cleveland
    Carol Cleveland is a British-American actress and comedian best known for her frequent appearances in the Monty Python television series and films.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e919748190953d893eb61724e7 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70088916881908dda568d3116216f completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.