Triple

T37374503
Position Surface form Disambiguated ID Type / Status
Subject Jack Crabb E927936 entity
Predicate filmAdaptationOfWorkBy P188003 FINISHED
Object Arthur Penn 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: Arthur Penn | Statement: [Jack Crabb, filmAdaptationOfWorkBy, Arthur Penn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmAdaptationOfWorkBy
Context triple: [Jack Crabb, filmAdaptationOfWorkBy, Arthur Penn]
  • A. filmAdaptationOfWork
    Indicates that a film is an adaptation based on the narrative content of a specific original work.
  • B. inFilmAdaptation
    Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
  • C. bookAdaptedInto
    Indicates that a book has been turned into another work, typically in a different medium such as a film, TV series, or play.
  • D. filmAdaptationStarred
    Indicates that a particular person played a starring role in a specific film adaptation of a work.
  • E. filmAdaptationMusicBy
    Indicates that the music for a film adaptation was composed or created by the specified person or entity.
  • F. None of above. chosen

Provenance (4 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_69f76eb820248190a5c395ca50ad002a completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb9e1845e881908d19158440cf3b87 completed May 6, 2026, 8:01 p.m.
PD Predicate disambiguation batch_69fb8d08d6988190a00794ac26078348 completed May 6, 2026, 6:48 p.m.
PDg Predicate description generation batch_69fb9e173f348190b7ab5935e4dca039 completed May 6, 2026, 8:01 p.m.
Created at: May 3, 2026, 4:16 p.m.