Triple

T6834231
Position Surface form Disambiguated ID Type / Status
Subject Fan Chung E157409 entity
Predicate employer P7 FINISHED
Object Bellcore E10408 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: Bellcore | Statement: [Fan Chung, employer, Bellcore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellcore
Context triple: [Fan Chung, employer, Bellcore]
  • A. Northern Telecom
    Northern Telecom was a major Canadian telecommunications equipment manufacturer and technology company, later known as Nortel Networks, that played a significant role in global telecom infrastructure.
  • B. Telcordia Technologies chosen
    Telcordia Technologies is a telecommunications research and development company known for creating industry standards and software solutions for network planning, management, and operations.
  • C. Bell Canada
    Bell Canada is a major Canadian telecommunications company providing phone, internet, and television services nationwide.
  • D. Lucent Technologies
    Lucent Technologies was a major American telecommunications equipment company, spun off from AT&T, known for its Bell Labs research arm and contributions to networking and communications technology.
  • E. Pacific Bell
    Pacific Bell was a major regional telephone company in the western United States, best known as a former Baby Bell providing local and long-distance telecommunications services.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67936288190829fedc3729aadd8 completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723fd50c88190af005fd58ca0aee6 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.