Triple

T21170587
Position Surface form Disambiguated ID Type / Status
Subject Carter Braxton E521680 entity
Predicate fullName P16 FINISHED
Object Carter Braxton NE NERFINISHED

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: Carter Braxton | Statement: [Carter Braxton, fullName, Carter Braxton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carter Braxton
Context triple: [Carter Braxton, fullName, Carter Braxton]
  • A. Carter Braxton chosen
    Carter Braxton was a Virginia planter, merchant, and Founding Father who signed the United States Declaration of Independence as a delegate to the Continental Congress.
  • B. Joe Pendleton
    Joe Pendleton is the central protagonist of the fantasy-comedy story "Heaven Can Wait," a good-hearted athlete whose premature death leads to a celestial mix-up and a second chance at life in another man's body.
  • C. Matthew McGrory
    Matthew McGrory was an American actor and extraordinarily tall performer known for roles in horror and fantasy films, including collaborations with director Rob Zombie.
  • D. Amos Burke
    Amos Burke is the suave, wealthy Los Angeles police detective who leads investigations in the classic television series "Burke's Law."
  • E. Ralph Izard
    Ralph Izard was an American statesman and U.S. Senator from South Carolina who played a prominent role in the early federal government after the American Revolution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72712893081908e394ccc7e0cbb53 completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.