Triple

T20141136
Position Surface form Disambiguated ID Type / Status
Subject The Greening of Whitney Brown E491166 entity
Predicate writer P1360 FINISHED
Object Gail Gilchriest 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: Gail Gilchriest | Statement: [The Greening of Whitney Brown, writer, Gail Gilchriest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gail Gilchriest
Context triple: [The Greening of Whitney Brown, writer, Gail Gilchriest]
  • A. Gail Gilchriest chosen
    Gail Gilchriest is an American screenwriter best known for adapting the autobiographical novel "My Dog Skip" into a successful family film.
  • B. Gayle Rankin
    Gayle Rankin is a Scottish actress best known for her role as Sheila the She-Wolf on the Netflix series GLOW.
  • C. Sheila Ferguson
    Sheila Ferguson is an American singer best known as the longtime lead vocalist of the Philadelphia soul trio The Three Degrees, who achieved international success in the 1970s.
  • D. Grace McCallum
    Grace McCallum is an American artistic gymnast and Olympic medalist who has represented the United States in major international competitions.
  • E. Christine Angus
    Christine Angus was the wife of British painter Walter Sickert, associated with his personal life during his early 20th-century career.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679b179c8190a9511df8ed82098a completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.