Triple

T26525088
Position Surface form Disambiguated ID Type / Status
Subject Disney direct-to-video films E670665 entity
Predicate businessPurpose P161718 FINISHED
Object support merchandise sales 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: support merchandise sales | Statement: [Disney direct-to-video films, businessPurpose, support merchandise sales]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: businessPurpose
Context triple: [Disney direct-to-video films, businessPurpose, support merchandise sales]
  • A. businessPurpose chosen
    Indicates that one entity serves as the commercial or organizational objective, rationale, or intended use for another entity.
  • B. businessFunction
    Indicates the specific role, activity, or operational function that an entity performs within a business context.
  • C. businessBase
    Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
  • D. business
    Indicates that an entity is engaged in commercial or professional activities, such as providing goods or services for profit.
  • E. businessPractice
    Indicates a relationship where an entity engages in, follows, or is characterized by a particular method, procedure, or customary way of conducting business activities.
  • 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_69eeb31ea1e08190b9ff43cf9bc25bf8 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6247480cc8190a887eedaeb94615c completed May 2, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69f623a7539c8190b71797f583da9f63 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 1:31 a.m.