Triple

T9846463
Position Surface form Disambiguated ID Type / Status
Subject Paris Belongs to Us E239352 entity
Predicate featuresCharacter P626 FINISHED
Object Philip Kaufman E202735 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: Philip Kaufman | Statement: [Paris Belongs to Us, featuresCharacter, Philip Kaufman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Kaufman
Context triple: [Paris Belongs to Us, featuresCharacter, Philip Kaufman]
  • A. Philip Kaufman chosen
    Philip Kaufman is an American film director and screenwriter known for works such as "The Right Stuff," "Invasion of the Body Snatchers" (1978), and "The Unbearable Lightness of Being."
  • B. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • C. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • D. Milos Forman
    Milos Forman was an acclaimed Czech-American film director best known for classics such as "One Flew Over the Cuckoo's Nest" and "Amadeus."
  • E. Hal Ashby
    Hal Ashby was an influential American film director and editor of the New Hollywood era, known for acclaimed, offbeat classics such as "Harold and Maude," "Shampoo," and "Being There."
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5e1b67c8190ad7b57ea423511d8 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.