Triple

T15482813
Position Surface form Disambiguated ID Type / Status
Subject Ernestine Bradley E376962 entity
Predicate spouse P13 FINISHED
Object Bill Bradley E58233 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: Bill Bradley | Statement: [Ernestine Bradley, spouse, Bill Bradley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Bradley
Context triple: [Ernestine Bradley, spouse, Bill Bradley]
  • A. Bill Bradley chosen
    Bill Bradley is a Hall of Fame American basketball player and former U.S. senator who starred at Princeton University before winning NBA championships with the New York Knicks.
  • B. Bill Simon
    Bill Simon is an American businessman and Republican politician who was the party's nominee for governor of California in the 2002 election.
  • C. Ronald Rivlin
    Ronald Rivlin was a pioneering mathematician and physicist known for his foundational contributions to the theory of nonlinear elasticity and the mechanical behavior of rubber-like materials.
  • D. Jeff Tarpley
    Jeff Tarpley is an American actor best known to the public as the ex-husband of comedian and television personality Sherri Shepherd.
  • E. John P. Burke
    John P. Burke was a public official who served as New York State's Industrial Commissioner, overseeing labor and industry-related policies and regulations.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0f4e648190b9cd9b1464209224 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:40 a.m.