Triple

T17094247
Position Surface form Disambiguated ID Type / Status
Subject Haley Barbour E414801 entity
Predicate hasChild P369 FINISHED
Object Haley Barbour Jr. E414801 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: Haley Barbour Jr. | Statement: [Haley Barbour, hasChild, Haley Barbour Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haley Barbour Jr.
Context triple: [Haley Barbour, hasChild, Haley Barbour Jr.]
  • A. Haley Barbour chosen
    Haley Barbour is an American Republican politician and lobbyist who served as governor of Mississippi from 2004 to 2012.
  • B. Kirk Fordice
    Kirk Fordice was a Republican politician who served as governor of Mississippi in the 1990s and was known for his staunch conservative positions.
  • C. Freddy Heflin
    Freddy Heflin is the small-town New Jersey sheriff, played by Sylvester Stallone, who becomes entangled in police corruption in the crime drama film "Cop Land."
  • D. Kay Ivey
    Kay Ivey is an American Republican politician serving as the governor of Alabama, known for her conservative policies and long tenure in state government.
  • E. Michele Hicks
    Michele Hicks is an American actress and former fashion model known for her roles in television series such as "The Shield" and various independent 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfb89348190942984037bd3bd2e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eec0d5c8190806e756aae848ba2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.