Triple

T146164
Position Surface form Disambiguated ID Type / Status
Subject X Corp. E3334 entity
Predicate associatedPlatformFormerName P1292 FINISHED
Object Twitter E3345 NE FINISHED

How this triple was built (3 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: Twitter | Statement: [X Corp., associatedPlatformFormerName, Twitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Twitter
Context triple: [X Corp., associatedPlatformFormerName, Twitter]
  • A. Twitter, Inc. chosen
    Twitter, Inc. was a major social media and microblogging company best known for its real-time short-message platform that shaped online news, politics, and public discourse worldwide.
  • B. Instagram
    Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
  • C. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • D. Tumblr
    Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
  • E. Vine
    Vine was a short-form video hosting service and social media platform known for its looping six-second clips and significant cultural impact in the early 2010s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: associatedPlatformFormerName
Context triple: [X Corp., associatedPlatformFormerName, Twitter]
  • A. formerName
    Indicates that an entity was previously known by a different name in the past.
  • B. platforms chosen
    Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
  • C. formerBrand
    Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
  • D. historicallyRecognizedAs
    Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
  • E. historicallyBorneBy
    Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
  • F. None of above.

Provenance (4 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ea7eac8190884a53453a9e0dd6 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d0c4cae881909e954f12d5bb9672 completed Feb. 28, 2026, 11:25 a.m.
PD Predicate disambiguation batch_69a25656a4fc81908a87678ac3d28f93 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.