Triple

T33637140
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Foreign Language Film (India's official entry) E861728 entity
Predicate formerAwardName P12531 FINISHED
Object Academy Award for Best Foreign Language Film NE NERFINISHED

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: Academy Award for Best Foreign Language Film | Statement: [Academy Award for Best Foreign Language Film (India's official entry), formerAwardName, Academy Award for Best Foreign Language Film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerAwardName
Context triple: [Academy Award for Best Foreign Language Film (India's official entry), formerAwardName, Academy Award for Best Foreign Language Film]
  • A. formerlyAwardedIn
    Indicates that an award or recognition was previously given in a particular context, time, or location but is no longer awarded there.
  • B. namedAwardAfter
    Indicates that an award has been given a name in honor of or derived from a particular person, group, or entity.
  • C. awardNameDerivedFrom
    Indicates that the name of an award is derived from, based on, or named after a particular entity.
  • D. awardName
    Indicates the specific name or title of an award associated with an entity.
  • E. formerDesignation chosen
    Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
  • 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_69f3498280c48190bcc3494017d14234 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ffc704e1e88190884928a6a5c55a87 completed May 9, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69ffc6b483d881908ad872e25fa6abc5 completed May 9, 2026, 11:43 p.m.
Created at: May 1, 2026, 1:42 a.m.