Triple

T10809858
Position Surface form Disambiguated ID Type / Status
Subject Forrest Tucker E255067 entity
Predicate familyName P18 FINISHED
Object Tucker E88569 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: Tucker | Statement: [Forrest Tucker, familyName, Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tucker
Context triple: [Forrest Tucker, familyName, Tucker]
  • A. Tucker chosen
    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.
  • B. 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.
  • C. 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.
  • D. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • E. Parker
    Parker is a 2013 American crime thriller film starring Jason Statham as a professional thief who seeks revenge after being double-crossed by his crew.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b6efc48190bb64b5a8fac843c4 completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8526237881908dc3b25b16de7871 completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.