Triple

T37090175
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Supporting Actor for Manchester by the Sea E918391 entity
Predicate forMedium P138515 FINISHED
Object film 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: film | Statement: [Academy Award for Best Supporting Actor for Manchester by the Sea, forMedium, film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: forMedium
Context triple: [Academy Award for Best Supporting Actor for Manchester by the Sea, forMedium, film]
  • A. mediumFor
    Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, transmitted, or realized.
  • B. medium
    Indicates that an entity serves as the means, channel, or intermediary through which an action, communication, or effect is carried out between other entities.
  • C. commonMedium
    Indicates that two or more entities share the same medium or channel through which interaction, communication, or transmission occurs.
  • D. subjectMedium chosen
    Indicates the medium or channel through which the subject is expressed, communicated, or realized.
  • E. subsequentMedium
    Indicates that one medium or format follows another in a sequence, typically as a later or alternative form of the same content or communication.
  • 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_69f76e9952b88190a6fe01ba01476520 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a00c07b302081908bf9755f8fdbc36e completed May 10, 2026, 5:29 p.m.
PD Predicate disambiguation batch_6a00bfffb168819084b65804d601896d completed May 10, 2026, 5:27 p.m.
Created at: May 3, 2026, 4:14 p.m.