Triple

T2705664
Position Surface form Disambiguated ID Type / Status
Subject Sinclair E59334 entity
Predicate hasNotableBearer P458 FINISHED
Object Sinclair Ferguson E288057 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: Sinclair Ferguson | Statement: [Sinclair, hasNotableBearer, Sinclair Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinclair Ferguson
Context triple: [Sinclair, hasNotableBearer, Sinclair Ferguson]
  • A. Sinclair B. Ferguson chosen
    Sinclair B. Ferguson is a Scottish Reformed theologian, pastor, and author known for his extensive writings and teaching on systematic and pastoral theology.
  • B. Eric Drummond
    Eric Drummond was a British diplomat best known for serving as the first Secretary-General of the League of Nations, helping to shape the early framework of modern international diplomacy.
  • C. Donald Finlay
    Donald Finlay was a British hurdler and Royal Air Force officer who twice medaled in the Olympic 110m hurdles and later took the athletes' oath at the 1948 London Games.
  • D. Garth Stevenson
    Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
  • E. Hugh Skinner
    Hugh Skinner is a British actor known for his roles in television series like "W1A" and "Fleabag" and films such as "Mamma Mia! Here We Go Again."
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda559a908190ad5d92c11a398a03 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7c22a4819096ff9effe9e0d77d completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.