Triple

T13333936
Position Surface form Disambiguated ID Type / Status
Subject Sale Johnson E317640 entity
Predicate spouse P13 FINISHED
Object Woody Johnson E5249 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: Woody Johnson | Statement: [Sale Johnson, spouse, Woody Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woody Johnson
Context triple: [Sale Johnson, spouse, Woody Johnson]
  • A. Woody Johnson chosen
    Woody Johnson is an American businessman and heir to the Johnson & Johnson fortune who is best known as the longtime owner of the NFL’s New York Jets and for serving as U.S. Ambassador to the United Kingdom.
  • B. Woody Johnson
    Woody Johnson is the inept and politically incorrect head ranger of Brickleberry National Park in the animated comedy series "Brickleberry."
  • C. Patrick Whitesell
    Patrick Whitesell is a prominent American talent agent and entertainment executive, best known as a top leader and co-founder of the global media and talent representation company Endeavor.
  • D. Woody Washam
    Woody Washam is an American local politician who serves as the mayor of Cornelius, a lakeside town in North Carolina.
  • E. Tor Johnson
    Tor Johnson was a Swedish-born professional wrestler and character actor best known for his roles in low-budget 1950s horror and science fiction films, particularly those directed by Ed Wood.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f36e4cc819093007404ceb5da31 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:30 p.m.