Triple

T3378533
Position Surface form Disambiguated ID Type / Status
Subject Cucumber E71123 entity
Predicate leadCharacter P1668 FINISHED
Object Henry Best E283918 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: Henry Best | Statement: [Cucumber, leadCharacter, Henry Best]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Best
Context triple: [Cucumber, leadCharacter, Henry Best]
  • A. Henry Best chosen
    Henry Best is a relatively obscure historical figure whose name is notably associated with the surname "Best."
  • B. George Jessel
    George Jessel was an American actor, comedian, and film producer known as "The Toastmaster General of the United States" for his prolific work in entertainment and public speaking.
  • C. Charles Weidman
    Charles Weidman was an influential American modern dancer and choreographer known for helping to pioneer modern dance in the United States through his innovative theatrical and kinetic style.
  • D. Ward Bond
    Ward Bond was an American character actor best known for his prolific work in classic Hollywood films and the television series "Wagon Train."
  • E. Christopher Morley
    Christopher Morley was an American journalist, novelist, essayist, and poet known for his witty, urbane writing and popular works in early 20th-century literature.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2eacb5c81908071a1dacc9a897a completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35460b4a081908f05bf786cc9bcd3 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:14 p.m.