Triple

T19152289
Position Surface form Disambiguated ID Type / Status
Subject William Dick E468838 entity
Predicate familyName P18 FINISHED
Object Dick 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: Dick | Statement: [William Dick, familyName, Dick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick
Context triple: [William Dick, familyName, Dick]
  • A. Dick
    Dick is the nickname of Dick Bosman, a former Major League Baseball pitcher known for his control and a no-hitter thrown in 1974.
  • B. Dick
    "Dick" is a 1999 satirical comedy film that parodies the Watergate scandal by imagining two teenage girls accidentally becoming key figures in President Richard Nixon’s downfall.
  • C. Dick
    Dick is the common nickname of Dick Howser, an American Major League Baseball player and manager best known for leading the Kansas City Royals to a World Series championship in 1985.
  • D. Dick chosen
    Dick is a masculine given name, traditionally a diminutive of Richard, that has been used in English-speaking countries for centuries.
  • E. Danny
    Danny is the young, psychically gifted son of Jack Torrance in Stephen King’s horror novel "The Shining" and its film adaptations.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97dc5a481909a58416126a0862d completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.