Triple

T7694321
Position Surface form Disambiguated ID Type / Status
Subject Shah Rukh Khan E174331 entity
Predicate socialMediaPlatform P57 FINISHED
Object X (formerly Twitter) E3345 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: X (formerly Twitter) | Statement: [Shah Rukh Khan, socialMediaPlatform, X (formerly Twitter)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: X (formerly Twitter)
Context triple: [Shah Rukh Khan, socialMediaPlatform, X (formerly 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. 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.
  • C. Weibo
    Weibo is a major Chinese microblogging and social media platform widely used for news, entertainment, and public discourse.
  • D. SNS
    SNS is the School of Natural Sciences at the University of California, Merced, which focuses on education and research in scientific disciplines such as biology, chemistry, physics, and related fields.
  • E. SNS
    SNS is the National Rail station code for Staines railway station in Surrey, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702459f988190bf7087bf51d5317f completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8aca5f3388190b25e70caa364d712 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 4:02 p.m.