Triple

T23135299
Position Surface form Disambiguated ID Type / Status
Subject Joan Barclay E577299 entity
Predicate birthName P65 FINISHED
Object Mary Elizabeth Greear 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: Mary Elizabeth Greear | Statement: [Joan Barclay, birthName, Mary Elizabeth Greear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Elizabeth Greear
Context triple: [Joan Barclay, birthName, Mary Elizabeth Greear]
  • A. Mary Elizabeth Greear chosen
    Mary Elizabeth Greear was the birth name of American film actress Joan Barclay, who appeared in numerous B-movies during the 1930s and 1940s.
  • B. Elizabeth Reaser
    Elizabeth Reaser is an American actress best known for her roles in the Twilight film series and the television drama Grey's Anatomy.
  • C. Margaret Greer
    Margaret Greer is a notable individual who shares the surname Greer and is recognized as a distinguished bearer of that name.
  • D. Mary Gilcrest
    Mary Gilcrest is the central fictional protagonist of Henry James’s short story “William and Mary.”
  • E. Mary Leddy
    Mary Leddy was the wife of American labor union official and alleged mob hitman Frank Sheeran, whose life inspired the film "The Irishman."
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8b694c8190b9ead00ea0576d90 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.