Triple

T13003264
Position Surface form Disambiguated ID Type / Status
Subject Tom Chaney E322221 entity
Predicate pursuedBy P19739 FINISHED
Object LaBoeuf E322220 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: LaBoeuf | Statement: [Tom Chaney, pursuedBy, LaBoeuf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaBoeuf
Context triple: [Tom Chaney, pursuedBy, LaBoeuf]
  • A. LaBoeuf chosen
    LaBoeuf is a Texas Ranger character in the 2010 Western film "True Grit," known for his prideful demeanor and uneasy partnership with U.S. Marshal Rooster Cogburn and young Mattie Ross.
  • B. Landry
    Landry is a surname most famously associated with Tom Landry, the legendary longtime head coach of the Dallas Cowboys in the National Football League.
  • C. Roscoe
    Roscoe is a masculine given name of English origin that has been borne by various notable figures in the arts, politics, and sports.
  • D. Roscoe
    Roscoe is the costumed dog mascot of the Milwaukee Admirals minor league hockey team, known for entertaining fans at games and community events.
  • E. Roscoe
    "Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9a2a448190968833354280e474 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f6c4e081909f035260462015b1 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:47 p.m.