Triple

T15617742
Position Surface form Disambiguated ID Type / Status
Subject Tyler Davidson Fountain E375460 entity
Predicate donatedBy P499 FINISHED
Object Henry Probasco E375460 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 Probasco | Statement: [Tyler Davidson Fountain, donatedBy, Henry Probasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Probasco
Context triple: [Tyler Davidson Fountain, donatedBy, Henry Probasco]
  • A. Henry Probasco chosen
    Henry Probasco was a 19th-century Cincinnati businessman and philanthropist best known for donating the Tyler Davidson Fountain, a major civic landmark in the city.
  • B. Thomas S. Gleason
    Thomas S. Gleason is an American politician who served as a member of the Massachusetts House of Representatives.
  • C. Thomas J. Gleason
    Thomas J. Gleason is an American politician who served as a member of the Massachusetts House of Representatives.
  • D. Roger O. Hirson
    Roger O. Hirson was an American playwright and screenwriter best known for writing the book for the Tony Award–winning musical "Pippin."
  • E. Earl Macklin
    Earl Macklin is the tough, vengeful ex-con protagonist of the 1973 crime film "The Outfit," who goes after the mobsters responsible for his brother’s murder.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56def20881909f835dd44ab9ac2b completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.