Triple

T3286091
Position Surface form Disambiguated ID Type / Status
Subject Rum Punch E68985 entity
Predicate featuresCharacter P626 FINISHED
Object Ray Nicolet E156797 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: Ray Nicolet | Statement: [Rum Punch, featuresCharacter, Ray Nicolet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Nicolet
Context triple: [Rum Punch, featuresCharacter, Ray Nicolet]
  • A. Ray Nicolette chosen
    Ray Nicolette is a fictional ATF agent who appears in Elmore Leonard’s crime novels and their film adaptations, notably portrayed by Michael Keaton in "Jackie Brown" and "Out of Sight."
  • B. Richard Marks
    Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
  • C. Michael Neeleman
    Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
  • D. Robert Bassler
    Robert Bassler was an American film producer active during Hollywood’s studio era, known for overseeing a range of mid-20th-century motion pictures.
  • E. Mike Guggino
    Mike Guggino is an American mandolinist and harmony vocalist best known as a longtime member of the bluegrass band Steep Canyon Rangers.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb03918c48190987d7cfd3bda9716 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85b6a1081908581b2040b8ce261 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.