Triple

T2308048
Position Surface form Disambiguated ID Type / Status
Subject Special Academy Award (1976) E51886 entity
Predicate recipientNotableFor P14626 FINISHED
Object silent film stardom 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: silent film stardom | Statement: [Special Academy Award (1976), recipientNotableFor, silent film stardom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recipientNotableFor
Context triple: [Special Academy Award (1976), recipientNotableFor, silent film stardom]
  • A. notableRecipient
    Indicates that an entity has received a notable award, honor, or recognition from another entity.
  • B. notableRecipientType
    Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
  • C. notableFieldOfRecipients chosen
    Indicates that the recipients are notable or recognized specifically in a particular field or area of expertise.
  • D. holderNotableFor
    Indicates that a holder (such as a person or organization) is particularly known or recognized for a specific role, achievement, work, or characteristic.
  • E. subjectNotableFor
    Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abce1f4f0c8190a714e4dcb8449f7e completed March 7, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69abc58ce2a081908ce2f0cadd92e9f8 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.