Triple

T9004189
Position Surface form Disambiguated ID Type / Status
Subject Brad Cox E215102 entity
Predicate name P16 FINISHED
Object Brad Cox E215102 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: Brad Cox | Statement: [Brad Cox, name, Brad Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brad Cox
Context triple: [Brad Cox, name, Brad Cox]
  • A. Brad Cox chosen
    Brad Cox was an American computer scientist and software engineer best known for co-creating the Objective-C programming language.
  • B. Greg Cox
    Greg Cox is a science fiction author best known for his numerous tie-in novels set in the Star Trek universe and other popular franchises.
  • C. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • D. Kent McCord
    Kent McCord is an American actor best known for his role as Officer Jim Reed on the television series "Adam-12."
  • E. Ted Wheeler
    Ted Wheeler is an American politician and member of the Democratic Party who has served as the mayor of Portland, Oregon, overseeing the city through periods of significant protest and policy debate.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6959497c8190a748c78504dd2eb6 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e3f0c88190ae688632be25e5c9 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.