Triple

T10217951
Position Surface form Disambiguated ID Type / Status
Subject College Station Cemetery E242494 entity
Predicate notableBurial P196 FINISHED
Object Red Cashion E49868 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: Red Cashion | Statement: [College Station Cemetery, notableBurial, Red Cashion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Cashion
Context triple: [College Station Cemetery, notableBurial, Red Cashion]
  • A. Red Cashion chosen
    Red Cashion was a longtime NFL official best known for his exuberant "First down!" calls and for serving as the referee in multiple Super Bowls.
  • B. Cree Hardrict
    Cree Hardrict is the son of American actor Cory Hardrict and actress Tia Mowry.
  • C. Jasper Western
    Jasper Western is a fictional character appearing in the work "The Pathfinder," likely serving as one of its notable supporting figures.
  • D. Washoe Pete
    Washoe Pete is an alternate name for Peter Washoe, likely referring to a person associated with the Washoe region or community.
  • E. Laramie Seymour Sullivan
    Laramie Seymour Sullivan is a central character in the neo-noir thriller film "Bad Times at the El Royale," portrayed as a mysterious vacuum cleaner salesman whose true identity and motives gradually unravel over the course of the story.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa6fcf6c81908a589585bbd48ab8 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a8142f948190b19e3c1f70f6430f completed April 8, 2026, 7:10 p.m.
Created at: April 6, 2026, 11:07 a.m.