Triple

T1393545
Position Surface form Disambiguated ID Type / Status
Subject Ferguson E30614 entity
Predicate hasVariant P455 FINISHED
Object Fergusson E159443 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: Fergusson | Statement: [Ferguson, hasVariant, Fergusson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fergusson
Context triple: [Ferguson, hasVariant, Fergusson]
  • A. Erskine
    Erskine is a masculine given name of Scottish origin, traditionally used as both a first name and a surname.
  • B. St Andrews
    St Andrews is a historic coastal town in eastern Scotland renowned for its ancient university and status as the "home of golf."
  • C. Midlothian
    Midlothian is a historic county and council area in southeastern Scotland, just south of Edinburgh, known for its mix of former mining communities, rural landscapes, and historic sites.
  • D. Lochgelly High School
    Lochgelly High School is a secondary school serving the town of Lochgelly and surrounding communities in Fife, Scotland.
  • E. Farguson chosen
    Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c37cd99081908d16014e0b99992d completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0156109081908f163af94e4e7978 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.