Triple

T29823682
Position Surface form Disambiguated ID Type / Status
Subject Steve Clark E757321 entity
Predicate productionCountryOfWorkContext P110306 FINISHED
Object United States 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: United States | Statement: [Steve Clark, productionCountryOfWorkContext, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productionCountryOfWorkContext
Context triple: [Steve Clark, productionCountryOfWorkContext, United States]
  • A. productionCountryOfWorkAppearsIn chosen
    Indicates that a country is the production country of a work in which a given entity appears.
  • B. productionCountries
    Indicates the countries where a work (such as a film or TV show) was produced or financed.
  • C. publisherCountryOfWork
    Indicates the country where the publisher of a given work is based or operates.
  • D. appearsInWorkCountryOfOrigin
    Indicates that an entity appears in a work whose country of origin is the specified country.
  • E. workCountryOfBroadcast
    Indicates the country from which a work (such as a program or broadcast content) is or was broadcast.
  • 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_69f22457c84c8190a6d9f56bc74082a9 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fd0d0ba5c48190bddb3f0e6637544c completed May 7, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69fd0c4324a8819086c90adf46216e0e completed May 7, 2026, 10:03 p.m.
Created at: April 29, 2026, 5:30 p.m.