Triple

T33371572
Position Surface form Disambiguated ID Type / Status
Subject Tri-Star Pictures E854503 entity
Predicate distributesInTerritory P42913 FINISHED
Object North America 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: North America | Statement: [Tri-Star Pictures, distributesInTerritory, North America]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distributesInTerritory
Context triple: [Tri-Star Pictures, distributesInTerritory, North America]
  • A. distributorTerritory chosen
    Indicates the geographic area or market in which a distributor is authorized or responsible to sell or distribute products or services.
  • B. distributesIn
    Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
  • C. distributesFrom
    Indicates that something acts as the source or origin from which items, resources, or information are distributed to others.
  • D. operatesFromTerritory
    Indicates that an entity conducts its activities or operations based out of, or primarily within, a specified territory.
  • E. isDistributedThrough
    Indicates that something is supplied, circulated, or made available to others via a particular channel, medium, or distribution mechanism.
  • 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_69f3496bda8c8190bfc8fade9d1b791c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f73ae120bc8190bff94d38d7a7a00d completed May 3, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69f73a38d0848190aa5139144b8561c6 completed May 3, 2026, 12:06 p.m.
Created at: May 1, 2026, 1:35 a.m.