Triple

T10811159
Position Surface form Disambiguated ID Type / Status
Subject White Christmas E255101 entity
Predicate screenwriter P2831 FINISHED
Object Melvin Frank E437322 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: Melvin Frank | Statement: [White Christmas, screenwriter, Melvin Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melvin Frank
Context triple: [White Christmas, screenwriter, Melvin Frank]
  • A. Melvin Frank chosen
    Melvin Frank was an American screenwriter, producer, and director best known for his work on classic mid-20th-century comedies.
  • B. Melvin Simon
    Melvin Simon was an American real estate developer and businessman best known as a co-founder of the major shopping mall company Simon Property Group.
  • C. Louis Garfinkle
    Louis Garfinkle was an American screenwriter best known for co-writing the acclaimed Vietnam War drama film "The Deer Hunter."
  • D. Myron Futterman
    Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
  • E. Oscar Lerman
    Oscar Lerman was a British nightclub owner and art dealer best known as the husband of novelist Jackie Collins.
  • 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_69deb0ea2b6481909dfd94fe0c3c4499 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.