Triple

T10857036
Position Surface form Disambiguated ID Type / Status
Subject LMS Stanier Class 5 4-6-0 E256294 entity
Predicate designer P184 FINISHED
Object William Stanier E105041 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: William Stanier | Statement: [LMS Stanier Class 5 4-6-0, designer, William Stanier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Stanier
Context triple: [LMS Stanier Class 5 4-6-0, designer, William Stanier]
  • A. William Stanier chosen
    William Stanier was a prominent British railway engineer best known for designing many of the London, Midland and Scottish Railway’s most successful steam locomotives in the 1930s.
  • B. Ian Stokell
    Ian Stokell is a screenwriter best known for co-writing the 2022 film adaptation of "All Quiet on the Western Front."
  • C. Stanley Dell
    Stanley Dell was the husband of Marion Cleveland, daughter of U.S. President Grover Cleveland, and was known primarily for this familial connection.
  • D. Ian Boldsworth
    Ian Boldsworth is a British comedian, writer, and podcaster best known for his work in alternative comedy and shows like the paranormal podcast "The ParaPod."
  • E. Anthony Bevan
    Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7513695ac8190b5812e977a422c37 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb197808c8190b1c80aeb2144a909 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.