Triple

T22159251
Position Surface form Disambiguated ID Type / Status
Subject Hobson's Choice E547624 entity
Predicate screenwriter P2831 FINISHED
Object Norman Spencer 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: Norman Spencer | Statement: [Hobson's Choice, screenwriter, Norman Spencer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Spencer
Context triple: [Hobson's Choice, screenwriter, Norman Spencer]
  • A. Norman Spencer chosen
    Norman Spencer is a film producer best known for his work on the cult classic 1971 road movie "Vanishing Point."
  • B. Norman Spencer
    Norman Spencer was an American composer and musical director best known for scoring early Warner Bros. and Merrie Melodies animated shorts.
  • C. Norman Murray
    Norman Murray is a distinguished astrophysicist and dynamicist recognized for his influential contributions to celestial mechanics and planetary system formation.
  • D. Norman Hammond
    Norman Hammond is a prominent British archaeologist and Mayanist scholar known for his extensive excavations and research on ancient Maya sites in Belize and elsewhere in Mesoamerica.
  • E. Norman Barren
    Norman Barren was an American entrepreneur best known as the founder of the off-price department store chain Marshalls.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2b5b10819090630fbadacb67af completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.