Triple

T11019984
Position Surface form Disambiguated ID Type / Status
Subject martineofficial E260462 entity
Predicate previousNameOfPlatform P65 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: [martineofficial, previousNameOfPlatform, Twitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twitter
Context triple: [martineofficial, previousNameOfPlatform, Twitter]
  • A. Tweeter
    Tweeter is a fictional character from the Traveling Wilburys’ song “Tweeter and the Monkey Man,” depicted as a small-time criminal entangled in a noir-style tale of crime and betrayal.
  • B. 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.
  • C. Weibo
    Weibo is a major Chinese microblogging and social media platform widely used for news, entertainment, and public discourse.
  • D. Instagram
    Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
  • E. Tweeter Center
    Tweeter Center was a former name of the large outdoor concert amphitheater now known as the Hollywood Casino Amphitheatre in Tinley Park, Illinois.
  • 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: previousNameOfPlatform
Context triple: [martineofficial, previousNameOfPlatform, Twitter]
  • A. predecessorPlatformCode
    Indicates that one platform’s code identifies a platform that directly preceded another in a sequence or version lineage.
  • B. formerName chosen
    Indicates that an entity was previously known by a different name in the past.
  • C. previousNameUsedUntil
    Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
  • D. originalPlatformGeneration
    Indicates that one platform is the initial or first-generation version from which another platform or subsequent generations are derived.
  • E. originPlatform
    Indicates the platform, system, or environment from which an entity, event, or piece of data originally comes.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797baad408190a53fd6941a750f68 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a98725808190903639866a3e745f completed April 18, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69d72e995e008190bbffb314129ed0cd completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.