Triple

T21423641
Position Surface form Disambiguated ID Type / Status
Subject Cornerstone E528497 entity
Predicate company P4120 FINISHED
Object Infocom NE NERFINISHED

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: Infocom | Statement: [Cornerstone, company, Infocom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Infocom
Context triple: [Cornerstone, company, Infocom]
  • A. Infocom chosen
    Infocom was a pioneering American software company best known for its influential text adventure games in the 1980s.
  • B. Linkabit Corporation
    Linkabit Corporation is a pioneering telecommunications and digital communications company co-founded by engineer and entrepreneur Irwin M. Jacobs, known for its influential role in advancing satellite and coding technologies.
  • C. Telcordia Technologies
    Telcordia Technologies is a telecommunications research and development company known for creating industry standards and software solutions for network planning, management, and operations.
  • D. Stone Communications
    Stone Communications is a public relations and political consulting firm associated with Republican strategist Roger Stone.
  • E. Palo Alto Research Center
    Palo Alto Research Center (PARC) is a renowned research and development lab best known for pioneering technologies such as the graphical user interface, laser printing, and Ethernet networking.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8139ce848190b812d6d07f1bdef8 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.