Triple

T1556404
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Taylor E33213 entity
Predicate spouse P13 FINISHED
Object Conrad Hilton Jr. E103546 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: Conrad Hilton Jr. | Statement: [Elizabeth Taylor, spouse, Conrad Hilton Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Hilton Jr.
Context triple: [Elizabeth Taylor, spouse, Conrad Hilton Jr.]
  • A. Conrad Hilton chosen
    Conrad Hilton was an American hotelier and businessman best known as the founder of Hilton Hotels.
  • B. Nelson Bunker Hunt
    Nelson Bunker Hunt was an American oil billionaire and commodities investor best known for his attempt to corner the global silver market in the late 1970s.
  • C. Stanley Hoover
    Stanley Hoover is a person notable enough to be recognized as a bearer of the Hoover name, though specific widely known public details about him are not clearly established.
  • D. Henry J. Leir
    Henry J. Leir was a Luxembourg-born industrialist, philanthropist, and writer known for his significant contributions to business and charitable causes in Europe and the United States.
  • E. Norman Brinker
    Norman Brinker was an influential American restaurateur and entrepreneur credited with pioneering the casual dining industry through brands like Chili’s and Steak and Ale.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908704d208190937af41c6454df4e completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad370e10248190b060a0209b979ef9 completed March 8, 2026, 8:45 a.m.
Created at: March 4, 2026, 7:27 p.m.