Triple

T551141
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Cinematography E11841 entity
Predicate typicalPresenter P3327 FINISHED
Object film industry figures 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 industry figures | Statement: [Academy Award for Best Cinematography, typicalPresenter, film industry figures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalPresenter
Context triple: [Academy Award for Best Cinematography, typicalPresenter, film industry figures]
  • A. typicalSpeaker chosen
    Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
  • B. presentedBy
    Indicates that something (such as an event, performance, or work) is formally organized, hosted, or introduced by a particular person or entity.
  • C. typicalCandidate
    Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
  • D. organizationTypeOfPresenter
    Indicates that the predicate specifies the type or category of organization to which the presenter belongs or that the presenter represents.
  • E. presentedTo
    Indicates that something (such as an item, work, or information) was formally given, shown, or introduced by one party to another as the recipient.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499030cf4819089b9163102255e49 completed March 1, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69a494bae210819093c2e0d33a8ca51a completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.