Triple

T7766795
Position Surface form Disambiguated ID Type / Status
Subject Butler E176168 entity
Predicate hasNotableBearer P458 FINISHED
Object Hubert Butler E470471 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: Hubert Butler | Statement: [Butler, hasNotableBearer, Hubert Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hubert Butler
Context triple: [Butler, hasNotableBearer, Hubert Butler]
  • A. Hubert Butler chosen
    Hubert Butler was an Irish essayist, historian, and human rights advocate known for his writings on Irish identity, nationalism, and European affairs.
  • B. Tom Butler
    Tom Butler is a Canadian actor known for his supporting roles in numerous film and television productions, including the thriller "Snakes on a Plane."
  • C. Reginald McKenna
    Reginald McKenna was a British Liberal politician who held several senior government posts, including Home Secretary and Chancellor of the Exchequer, during the early 20th century.
  • D. Morris Barry
    Morris Barry was a British television director best known for his work on classic Doctor Who serials during the 1960s.
  • E. Walter Plunkett
    Walter Plunkett was a prominent American costume designer best known for his work on classic Hollywood films such as "Gone with the Wind."
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7043451bc8190a76ee066b779b7d7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e1a1408190a802d4f4afb8dd05 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:10 p.m.