Triple

T38677960
Position Surface form Disambiguated ID Type / Status
Subject DiscoVision E943808 entity
Predicate notableContentLicensor P206612 FINISHED
Object Universal Pictures E9760 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: Universal Pictures | Statement: [DiscoVision, notableContentLicensor, Universal Pictures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableContentLicensor
Context triple: [DiscoVision, notableContentLicensor, Universal Pictures]
  • A. notableShowLicensed
    Indicates that a show is officially licensed or authorized in a notable or significant way.
  • B. notableContentType
    Indicates the type or category of content for which an entity is notable or best known.
  • C. notableHolder
    Indicates that a person or entity is a distinguished or prominent holder of a particular position, title, or role.
  • D. notableAdaptor
    Indicates that one entity is a well-known or distinguished adapter of another entity’s work, style, or content.
  • E. notableStudio
    Indicates that an entity is a studio (e.g., film, music, game, or animation studio) that is especially prominent, influential, or widely recognized in relation to the subject entity.
  • F. None of above. chosen

Provenance (5 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_69f76eec28708190b9c82a505fc278e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037cae084081909004d77514c5f286 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd4510588190b207f70686b641f3 completed June 29, 2026, 5:06 a.m.
PD Predicate disambiguation batch_6a037a2026248190b894436a578d79ac completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037c85e308819083dd67b96f457659 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:33 p.m.