Triple

T36590098
Position Surface form Disambiguated ID Type / Status
Subject Arthur A. Ross E902644 entity
Predicate screenwritingFor P48034 FINISHED
Object feature films LITERAL 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: feature films | Statement: [Arthur A. Ross, screenwritingFor, feature films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenwritingFor
Context triple: [Arthur A. Ross, screenwritingFor, feature films]
  • A. screenplayDevelopment
    Indicates a relationship where a screenplay is being created, refined, or otherwise developed, typically through writing, revising, or collaborative work.
  • B. screenplayWrittenFor
    Indicates that a screenplay was written specifically for a particular film, show, or production.
  • C. screenwriters chosen
    Indicates that one or more entities are the writers who authored the screenplay or script for a film, show, or similar work.
  • D. screenwritersContext
    Indicates the contextual or collaborative relationship between screenwriters, such as shared projects, influences, or professional associations.
  • E. screenplayBy
    Indicates that a film, television show, or similar work was written or scripted by a particular person or group.
  • F. None of above.

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_69f76e6592e88190bac4eb00a46e9df9 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:11 p.m.