Triple

T14264942
Position Surface form Disambiguated ID Type / Status
Subject Bob Metcalfe E353620 entity
Predicate employer P7 FINISHED
Object 3Com E820236 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: 3Com | Statement: [Bob Metcalfe, employer, 3Com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3Com
Context triple: [Bob Metcalfe, employer, 3Com]
  • A. 3Com chosen
    3Com was an American digital electronics and networking company best known for its Ethernet and network interface products before being acquired by Hewlett-Packard.
  • B. Cisco Systems
    Cisco Systems is a multinational technology conglomerate best known for designing and selling networking hardware, software, and telecommunications equipment used worldwide.
  • C. Agere Systems
    Agere Systems was a semiconductor company specializing in communications and networking integrated circuits, formed as a spin-off from Lucent Technologies.
  • D. Rincon Networks
    Rincon Networks was the original name of Sonos, the American company known for its wireless home audio products and multi-room sound systems.
  • E. 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.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326367348190b4b31b32f4ca5639 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.