Triple

T12693419
Position Surface form Disambiguated ID Type / Status
Subject Jeremy King E303266 entity
Predicate coFounderWith P2835 FINISHED
Object Chris Corbin E303267 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: Chris Corbin | Statement: [Jeremy King, coFounderWith, Chris Corbin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Corbin
Context triple: [Jeremy King, coFounderWith, Chris Corbin]
  • A. Chris Corbin chosen
    Chris Corbin is a renowned British restaurateur best known for co-founding several iconic London restaurants, including The Wolseley.
  • B. Mark Breland
    Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
  • C. Cody Jarrett
    Cody Jarrett is the ruthless, psychotic gang leader famously portrayed by James Cagney in the classic 1949 crime film "White Heat."
  • D. Christopher Corbin
    Christopher Corbin is the son of American actor Barry Corbin, known for his work in film and television.
  • E. Josh Sitton
    Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961dbc91c8190bec50797bbd593db completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671ae935c8190a7fc2cf3c0987248 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.