Triple

T3854687
Position Surface form Disambiguated ID Type / Status
Subject NeXT logo E85383 entity
Predicate laterAssociation P14066 FINISHED
Object Apple Inc. after NeXT acquisition 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: Apple Inc. after NeXT acquisition | Statement: [NeXT logo, laterAssociation, Apple Inc. after NeXT acquisition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterAssociation
Context triple: [NeXT logo, laterAssociation, Apple Inc. after NeXT acquisition]
  • A. laterAffiliation chosen
    Indicates that an entity becomes affiliated with another entity at a later time than a previously mentioned or initial affiliation.
  • B. laterMember
    Indicates that one entity became a member of a group or organization at a later time than another entity.
  • C. leaderAssociatedWith
    Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
  • D. reasonForAssociation
    Indicates that one entity is associated with another due to a specific cause, purpose, or motivating factor underlying their relationship.
  • E. associatedWithSee
    Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec05ec4c8190bd5e5463163712dc completed March 9, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69aee752c8a48190a670f73ed0bf1e61 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.