Triple

T20215773
Position Surface form Disambiguated ID Type / Status
Subject James Earl "Chip" Carter III E493618 entity
Predicate spouse P13 FINISHED
Object Connie Carter 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: Connie Carter | Statement: [James Earl "Chip" Carter III, spouse, Connie Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connie Carter
Context triple: [James Earl "Chip" Carter III, spouse, Connie Carter]
  • A. Connie Morgan
    Connie Morgan was a pioneering female second baseman in Negro league baseball, best known for playing with the Indianapolis Clowns in the 1950s.
  • B. Joelle Carter
    Joelle Carter is an American actress best known for her role as Ava Crowder on the television drama series "Justified."
  • C. Connie Nickerson chosen
    Connie Nickerson was the wife of American actor and comedian Eddie Bracken.
  • D. Leslie Carter
    Leslie Carter was an American pop singer and television personality best known as a member of the musical Carter family and for her early 2000s single "Like Wow!".
  • E. Cy Carter
    Cy Carter is a screenwriter best known for his work on the independent drama film "A Quiet Little Marriage."
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8cc8c8190889ecadc702010d8 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.