Triple

T37107484
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Supporting Actress for Olympia Dukakis E918884 entity
Predicate associatedWithProductionCountry P129303 FINISHED
Object United States E14 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: United States | Statement: [Academy Award for Best Supporting Actress for Olympia Dukakis, associatedWithProductionCountry, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithProductionCountry
Context triple: [Academy Award for Best Supporting Actress for Olympia Dukakis, associatedWithProductionCountry, United States]
  • A. associatedWorkCountryOfOrigin
    Indicates that the related work originates from, or is primarily associated with, a specified country.
  • B. productionCountries chosen
    Indicates the countries where a work (such as a film or TV show) was produced or financed.
  • C. isProducedIn
    Indicates that something is created, manufactured, or generated within a particular place, context, or process.
  • D. productionCountryOfWorkAppearsIn
    Indicates that a country is the production country of a work in which a given entity appears.
  • E. associatedProduction
    Indicates that there is a related or connected production (such as a work, performance, or manufacturing process) linked to the subject entity.
  • 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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3f69f94ec08190944b30ae0343d3aa completed June 27, 2026, 6:13 a.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:14 p.m.