Triple

T10915644
Position Surface form Disambiguated ID Type / Status
Subject Quanah Parker E257814 entity
Predicate spouse P13 FINISHED
Object To-nice Parker E44427 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: To-nice Parker | Statement: [Quanah Parker, spouse, To-nice Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: To-nice Parker
Context triple: [Quanah Parker, spouse, To-nice Parker]
  • A. 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.
  • B. Parker chosen
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • C. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • D. The Dinky
    The Dinky is a short commuter rail shuttle service that connects Princeton University to the nearby Princeton Junction station on New Jersey Transit's Northeast Corridor line.
  • E. Pouncer
    Pouncer is the costumed tiger mascot who represents the University of Memphis Tigers at athletic events and school functions.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77074c77c8190af91369eee11f1b7 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.