Triple

T8213135
Position Surface form Disambiguated ID Type / Status
Subject Maunsell Forts E191869 entity
Predicate namedAfter P63 FINISHED
Object Guy Maunsell E718852 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: Guy Maunsell | Statement: [Maunsell Forts, namedAfter, Guy Maunsell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Maunsell
Context triple: [Maunsell Forts, namedAfter, Guy Maunsell]
  • A. Guy Maunsell chosen
    Guy Maunsell was a British civil engineer and architect best known for designing the World War II-era offshore Maunsell Forts in the Thames and Mersey estuaries.
  • B. George Gittoes
    George Gittoes is an Australian artist and filmmaker renowned for his powerful depictions of war and social injustice.
  • C. Robert Luce
    Robert Luce was an American politician and author who served as a U.S. Representative from Massachusetts in the early 20th century.
  • D. Roy Fedden
    Roy Fedden was a prominent British aircraft engine designer and engineer, best known for his influential work on piston engines that powered many Royal Air Force aircraft in the early to mid-20th century.
  • E. Bruce Smeaton
    Bruce Smeaton is an Australian composer best known for his film scores, particularly for notable Australian and international movies from the 1970s onward.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76e07a1c8190b5d1ec2ef16966ad completed March 31, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34c010b48190b564fd365a5304d1 completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:44 p.m.