Triple

T8851581
Position Surface form Disambiguated ID Type / Status
Subject Countess Vaughn E210649 entity
Predicate televisionRole P1668 FINISHED
Object Kim Parker E207710 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: Kim Parker | Statement: [Countess Vaughn, televisionRole, Kim Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Parker
Context triple: [Countess Vaughn, televisionRole, Kim Parker]
  • A. Kim Parker chosen
    Kim Parker is a comedic, outspoken teenage character from the sitcom "Moesha," later becoming a central figure in its spin-off series "The Parkers."
  • B. Joy Parker
    Joy Parker was the wife of acclaimed English actor Paul Scofield, with whom she shared a long marriage and family life.
  • C. Alex Parker
    Alex Parker is a musician best known for having been a member of the American rock band No Doubt.
  • D. Carol Parker
    Carol Parker is best known as the wife of Marlon Jackson, a member of the famed Jackson family and former singer of The Jackson 5.
  • E. Jennifer Parker
    Jennifer Parker is Marty McFly’s girlfriend in the Back to the Future film series, appearing as a key supporting character across its time-travel adventures.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c3c5548190926e374bbe592180 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa08315fc8190b901adfc76348e18 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.