Triple

T10811158
Position Surface form Disambiguated ID Type / Status
Subject White Christmas E255101 entity
Predicate screenwriter P2831 FINISHED
Object Norman Panama E437323 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: Norman Panama | Statement: [White Christmas, screenwriter, Norman Panama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Panama
Context triple: [White Christmas, screenwriter, Norman Panama]
  • A. Norman Panama chosen
    Norman Panama was an American screenwriter, film producer, and director best known for his comedic collaborations with Melvin Frank on mid-20th-century Hollywood films.
  • B. Norman Pike
    Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
  • C. Norman Gay
    Norman Gay is a film editor best known for his work on the classic horror movie "The Exorcist."
  • D. Norman Blake
    Norman Blake is an American acoustic guitarist and songwriter renowned for his influential work in bluegrass, folk, and Americana music.
  • E. Norman Stevens
    Norman Stevens was a British artist and printmaker known for his atmospheric, often haunting depictions of architectural and domestic interiors.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de853692f08190914cbeaf1a558730 completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.