Triple

T9640813
Position Surface form Disambiguated ID Type / Status
Subject Hakeem Campbell E233059 entity
Predicate creator P184 FINISHED
Object Sara V. Finney E303316 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: Sara V. Finney | Statement: [Hakeem Campbell, creator, Sara V. Finney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara V. Finney
Context triple: [Hakeem Campbell, creator, Sara V. Finney]
  • A. Sara V. Finney chosen
    Sara V. Finney is an American television writer and producer best known as a co-creator of the sitcom "Moesha" and a pioneering Black woman in network TV comedy.
  • B. Kaye V. Dowling
    Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
  • C. Susan V. Booth
    Susan V. Booth is an American theater director and arts leader known for her prominent role as artistic director of major regional theaters, including Chicago’s Goodman Theatre.
  • D. Bonnie J. Dunbar
    Bonnie J. Dunbar is an American engineer and former NASA astronaut who flew on five Space Shuttle missions and later became a prominent leader in aerospace education and research.
  • E. Ann S. Stephens
    Ann S. Stephens was a 19th-century American novelist and magazine editor best known for her popular dime novels and influential role in early mass-market fiction.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b552a1c81909a1fab347110eeb1 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d979c21f5481908bea7fd2c70d2c0b completed April 10, 2026, 10:29 p.m.
Created at: March 30, 2026, 8:12 p.m.