Triple

T14752085
Position Surface form Disambiguated ID Type / Status
Subject Factory Girl E346634 entity
Predicate castMember P1668 FINISHED
Object Beth Grant E315748 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: Beth Grant | Statement: [Factory Girl, castMember, Beth Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beth Grant
Context triple: [Factory Girl, castMember, Beth Grant]
  • A. Beth Grant chosen
    Beth Grant is an American character actress known for her prolific work in film and television, often portraying strict, eccentric, or morally rigid supporting characters.
  • B. Patricia Haines
    Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
  • C. Katherine Richardson
    Katherine Richardson is a Danish-American oceanographer and climate scientist known for her work on marine ecosystems and planetary boundaries.
  • D. Carol Harrison
    Carol Harrison is a British actress best known for her role as Louise Raymond in the BBC soap opera "EastEnders."
  • E. Mary Franklin
    Mary Franklin was one of the daughters of Josiah and Abiah Franklin, making her a sister of American founding father Benjamin Franklin.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.