Triple

T8065678
Position Surface form Disambiguated ID Type / Status
Subject Noel Gallagher E188237 entity
Predicate familyName P18 FINISHED
Object Gallagher E284088 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: Gallagher | Statement: [Noel Gallagher, familyName, Gallagher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallagher
Context triple: [Noel Gallagher, familyName, Gallagher]
  • A. Gallagher chosen
    Gallagher is a central fictional soldier in Norman Mailer’s World War II novel "The Naked and the Dead," representing the experiences and struggles of American infantrymen in the Pacific theater.
  • B. Callaghan
    Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
  • C. Mullane
    Mullane is a surname of Irish origin, considered a variant of the name Mullen.
  • D. Gallagher Re
    Gallagher Re is a leading global reinsurance brokerage and advisory firm that provides risk transfer and capital management solutions to insurers and other clients worldwide.
  • E. Mullally
    Mullally is a surname of Irish origin borne by various notable individuals in fields such as entertainment, sports, and public service.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff5547c8190a7ec5958a23e302f completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e1ed44819083ed9db6c9d7b0fd completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.