Triple

T12975235
Position Surface form Disambiguated ID Type / Status
Subject Chief Executive Officer of AT&T Wireless E321505 entity
Predicate hasEmployer P7 FINISHED
Object AT&T Wireless E89783 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: AT&T Wireless | Statement: [Chief Executive Officer of AT&T Wireless, hasEmployer, AT&T Wireless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AT&T Wireless
Context triple: [Chief Executive Officer of AT&T Wireless, hasEmployer, AT&T Wireless]
  • A. AT&T chosen
    AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
  • B. Verizon
    Verizon is a major American telecommunications company providing wireless, internet, and related communication services across the United States and globally.
  • C. Rogers Wireless
    Rogers Wireless is one of Canada’s largest mobile network operators, providing nationwide wireless voice, data, and related telecommunications services.
  • D. Alltel
    Alltel was a major American wireless telecommunications company that provided mobile phone services across numerous U.S. states before being largely acquired by Verizon Wireless.
  • E. T-Mobile US
    T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e4322c08190abd43daadf16097f completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ec821c81909398d8e02d69dcbf completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:37 p.m.