Triple

T20174258
Position Surface form Disambiguated ID Type / Status
Subject Hayley Vaughan E492047 entity
Predicate stepMother P14091 FINISHED
Object Gloria Marsh 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: Gloria Marsh | Statement: [Hayley Vaughan, stepMother, Gloria Marsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Marsh
Context triple: [Hayley Vaughan, stepMother, Gloria Marsh]
  • A. Gloria Marsh chosen
    Gloria Marsh is a fictional character from the soap opera "All My Children," known for her tumultuous relationship with Adam Chandler.
  • B. Gloria Loomis
    Gloria Loomis is a literary agent and the wife of the late American screenwriter Walter Bernstein.
  • C. Gloria Connors
    Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
  • D. Gloria Sharewood
    Gloria Sharewood is a character from the classic television anthology series "The Twilight Zone," appearing as one of the children in the episode "The Bewitchin’ Pool."
  • E. Gloria Greer
    Gloria Greer was an American actress best known for her work in early 20th-century films and for her marriage to film director Alan Crosland.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6684a33688190b22cfc16907e76bc completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:36 p.m.