Triple

T9986012
Position Surface form Disambiguated ID Type / Status
Subject Russ Conway E196568 entity
Predicate givenName P17 FINISHED
Object Trevor E46353 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: Trevor | Statement: [Russ Conway, givenName, Trevor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trevor
Context triple: [Russ Conway, givenName, Trevor]
  • A. Trevor chosen
    Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
  • B. Trevor
    Trevor is a village in Wrexham County Borough, Wales, known for its proximity to the UNESCO-listed Pontcysyllte Aqueduct on the Llangollen Canal.
  • C. Trevor Jim
    Trevor Jim was a computer scientist and cryptographer known for his work on programming languages, security, and formal methods.
  • D. Trevor Hawkins
    Trevor Hawkins is a relatively obscure individual whose specific public achievements or profession are not widely documented.
  • E. Trevor Blackwell
    Trevor Blackwell is a Canadian engineer, entrepreneur, and roboticist best known as a co-founder of the startup accelerator Y Combinator and for his work in humanoid and self-balancing robots.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79af13c81909349ae0b0d5da946 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258078488819086a58db79075e2b9 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.