Triple

T1809708
Position Surface form Disambiguated ID Type / Status
Subject Luca E40302 entity
Predicate distributorDecision P2273 FINISHED
Object skipped theatrical release in the United States 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: skipped theatrical release in the United States | Statement: [Luca, distributorDecision, skipped theatrical release in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distributorDecision
Context triple: [Luca, distributorDecision, skipped theatrical release in the United States]
  • A. distributor
    Indicates that an entity is responsible for supplying, delivering, or making another entity’s products or materials available to others.
  • B. distributorType
    Indicates the specific category or role of a distributor in relation to the distribution of a product or service.
  • C. distributesIn
    Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
  • D. allowsDistribution
    Indicates that one entity grants permission for another entity to distribute or disseminate something (e.g., content, products, or data).
  • E. decidesOn chosen
    Indicates that an agent makes a choice or determination regarding a particular option, issue, or course of action.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab694d75ac8190a4d61399c04b9fb9 completed March 6, 2026, 11:54 p.m.
PD Predicate disambiguation batch_69aa61d6b8ec8190a1597b2e44ea6534 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.