Triple

T19130042
Position Surface form Disambiguated ID Type / Status
Subject William H. Tunner E468291 entity
Predicate familyName P18 FINISHED
Object Tunner NE NERFINISHED

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: Tunner | Statement: [William H. Tunner, familyName, Tunner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunner
Context triple: [William H. Tunner, familyName, Tunner]
  • A. Tunner chosen
    Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
  • B. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • C. Tucker
    Tucker is a paranormal investigator character from the Insidious horror film series, known for his tech-based ghost-hunting work alongside his partner Specs.
  • D. Tucker
    Tucker is the criminal defendant whose custodial interrogation and subsequent appeal led to the U.S. Supreme Court decision in Michigan v. Tucker, which clarified the scope of Miranda-related protections.
  • E. Tucker
    Tucker is an English occupational surname and given name historically associated with cloth-fulling and now borne by various notable figures in entertainment, sports, and public life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3e8c49481908b6be87af54d12cf completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.