Triple

T15927429
Position Surface form Disambiguated ID Type / Status
Subject Marnie E386237 entity
Predicate hasCastMember P2308 FINISHED
Object Diane Baker E1067123 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: Diane Baker | Statement: [Marnie, hasCastMember, Diane Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diane Baker
Context triple: [Marnie, hasCastMember, Diane Baker]
  • A. Diane Baker chosen
    Diane Baker is an American actress and producer known for her work in film and television since the late 1950s, including roles in classics like "The Diary of Anne Frank" and "Marnie."
  • B. Carroll Baker
    Carroll Baker is an American actress best known for her provocative breakout role in "Baby Doll" (1956) and a series of notable performances in 1950s and 1960s Hollywood films.
  • C. Shirley Heath
    Shirley Heath is a large open heathland and recreational green space located in the Shirley area of the West Midlands, England.
  • D. Shirley Hayden
    Shirley Hayden is a musician best known as a member of Kid Rock’s backing band, Twisted Brown Trucker.
  • E. Piper Laurie
    Piper Laurie was an acclaimed American actress known for her intense performances in films like "Carrie" and "The Hustler" and the TV series "Twin Peaks."
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156872964819083a2fb9f86df61ba completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a502c82881908d5b6f7c23e8a403 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 4:52 a.m.