Triple

T18376106
Position Surface form Disambiguated ID Type / Status
Subject Tweed E446317 entity
Predicate hasNotableBearer P458 FINISHED
Object John Tweed NE NERFINISHED

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: John Tweed | Statement: [Tweed, hasNotableBearer, John Tweed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tweed
Context triple: [Tweed, hasNotableBearer, John Tweed]
  • A. John Tweed chosen
    John Tweed was a British sculptor known for creating prominent public monuments and statues in the early 20th century.
  • B. John Haire
    John Haire was a British Labour Party politician who served as a Member of Parliament in the mid-20th century.
  • C. John H. Tweed
    John H. Tweed was a prominent aviation figure and local leader in New Haven, Connecticut, after whom the city’s regional airport was named in recognition of his contributions to aviation and the community.
  • D. Thomas Parr
    Thomas Parr was a British colonial administrator who served as Lieutenant-Governor of Bencoolen (in present-day Indonesia) during the early 19th century.
  • E. Thomas Parr
    Thomas Parr, often called "Old Parr," was a Shropshire-born Englishman reputed to have lived to the age of 152 in the 16th and 17th centuries, making him a famous historical example of extreme longevity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51759353481908aa2de599fd2cf3b completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:45 a.m.