Triple

T10210208
Position Surface form Disambiguated ID Type / Status
Subject Fahrenheit 451 (2018 film) E242305 entity
Predicate producer P490 FINISHED
Object Sarah Green E285439 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: Sarah Green | Statement: [Fahrenheit 451 (2018 film), producer, Sarah Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Green
Context triple: [Fahrenheit 451 (2018 film), producer, Sarah Green]
  • A. Sarah Green chosen
    Sarah Green is an American film producer known for her frequent collaborations with director Terrence Malick on critically acclaimed independent films.
  • B. Sarah Green
    Sarah Green is a British Liberal Democrat politician who serves as the Member of Parliament for the Chesham and Amersham constituency.
  • C. Laura H. Greene
    Laura H. Greene is an American physicist renowned for her research in condensed matter physics and for her leadership in the scientific community.
  • D. Sarah Greene
    Sarah Greene is an Irish actress known for her work in film, television, and theatre, including acclaimed performances in projects such as "Penny Dreadful" and "Dublin Murders."
  • E. Gillian Greene
    Gillian Greene is an American actress and filmmaker, known for her work in film and television and for being married to director Sam Raimi.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395fbed008190b66996f5bb397853 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652cca9c081909f705365c70db009 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:01 a.m.