Triple

T9824973
Position Surface form Disambiguated ID Type / Status
Subject Michael Powell E238631 entity
Predicate spouse P13 FINISHED
Object Thelma Schoonmaker E111811 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: Thelma Schoonmaker | Statement: [Michael Powell, spouse, Thelma Schoonmaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thelma Schoonmaker
Context triple: [Michael Powell, spouse, Thelma Schoonmaker]
  • A. Thelma Schoonmaker chosen
    Thelma Schoonmaker is an acclaimed American film editor best known for her long-time collaboration with director Martin Scorsese, earning multiple Academy Awards for her work.
  • B. Ellen Kuras
    Ellen Kuras is an acclaimed American cinematographer known for her innovative visual style on films such as "Eternal Sunshine of the Spotless Mind" and numerous documentaries.
  • C. Walter Murch
    Walter Murch is an acclaimed American film editor and sound designer known for his innovative work on films such as Apocalypse Now, The Conversation, and The English Patient.
  • D. James Schoonmaker
    James Schoonmaker is a fictional character from P. G. Wodehouse’s comic novel "Service with a Smile," set in the Blandings Castle universe.
  • E. Taylor Hackford
    Taylor Hackford is an American film director and producer known for works such as "An Officer and a Gentleman" and "Ray."
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3181c688190afea3b27ee392a30 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc84b0a481909000a0f04e3676d0 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.