Triple

T7238902
Position Surface form Disambiguated ID Type / Status
Subject Curtis Bean Dall E155303 entity
Predicate givenName P17 FINISHED
Object Curtis E22875 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: Curtis | Statement: [Curtis Bean Dall, givenName, Curtis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curtis
Context triple: [Curtis Bean Dall, givenName, Curtis]
  • A. Curtis chosen
    Curtis is a common English surname of Norman origin, historically meaning "courteous" or "polite."
  • B. Curt
    Curt Schilling is a former Major League Baseball pitcher best known for his postseason performances and World Series titles with the Arizona Diamondbacks and Boston Red Sox.
  • C. Jake Curtis
    Jake Curtis is a British filmmaker and photographer, known as the son of screenwriter-director Richard Curtis and broadcaster Emma Freud.
  • D. Garrett
    Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
  • E. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea368fb88190bd9e991e8b94dac6 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.