Triple

T32971395
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Actress for Reds E843527 entity
Predicate notableCoStarsInFilm P129510 FINISHED
Object Warren Beatty E24343 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: Warren Beatty | Statement: [Academy Award for Best Actress for Reds, notableCoStarsInFilm, Warren Beatty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableCoStarsInFilm
Context triple: [Academy Award for Best Actress for Reds, notableCoStarsInFilm, Warren Beatty]
  • A. notableCastWorkedWith
    Indicates that there is a notable professional collaboration or working relationship between members of a cast.
  • B. notableCastPairing
    Indicates that two cast members are notably associated with each other in a particular work, such as through a prominent or distinctive joint appearance.
  • C. notableCastMember
    Indicates that an entity is a member of the cast of another entity (such as a film, show, or production) and is considered particularly notable or significant in that role.
  • D. notableCastFeature
    Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
  • E. filmCoStar chosen
    Indicates that two people appeared together as co-actors in the same film.
  • F. None of above.

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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34dabba3f48190a95eed6422cc1f7e completed June 19, 2026, 5:59 a.m.
PD Predicate disambiguation batch_6a0379f0cbe481909b4b8fc6cbe297f0 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:21 a.m.