Triple

T7619183
Position Surface form Disambiguated ID Type / Status
Subject Freeman Fox & Partners E172443 entity
Predicate hasKeyPerson P256 FINISHED
Object Alan Fox E676387 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: Alan Fox | Statement: [Freeman Fox & Partners, hasKeyPerson, Alan Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Fox
Context triple: [Freeman Fox & Partners, hasKeyPerson, Alan Fox]
  • A. Alan Fox chosen
    Alan Fox was a founding engineer and partner of the British civil engineering consultancy Freeman Fox & Partners, known for its work on major bridge and infrastructure projects.
  • B. Neil Fox
    Neil Fox is a British radio DJ and television personality best known for his work on UK music radio and as a judge on talent shows.
  • C. Robert Fox
    Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
  • D. Lane Fox
    Lane Fox is a British businesswoman, internet entrepreneur, and crossbench peer best known as the co-founder of Lastminute.com and a prominent advocate for digital inclusion.
  • E. Alan Snyder
    Alan Snyder is a computer scientist and software engineer known for his work on programming languages and system design, including contributions to the development of the CLU language.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6148a88190be5150313fe23e7b completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8709b93c881909dd4c8a7669279db completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:55 p.m.