Triple

T15513294
Position Surface form Disambiguated ID Type / Status
Subject Frank D. Gilroy E368766 entity
Predicate residence P75 FINISHED
Object Monroe, New York E412409 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: Monroe, New York | Statement: [Frank D. Gilroy, residence, Monroe, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroe, New York
Context triple: [Frank D. Gilroy, residence, Monroe, New York]
  • A. Monroe, New York chosen
    Monroe, New York is a suburban town in Orange County known for its proximity to major state parks, growing residential communities, and role as a regional commercial hub.
  • B. Roosevelt, New York
    Roosevelt, New York is a predominantly residential hamlet and census-designated place in Nassau County on Long Island, known for its diverse community and suburban character.
  • C. Clinton, New York
    Clinton, New York is a small village in Oneida County known for its historic charm and as the home of Hamilton College.
  • D. Hamilton, New York
    Hamilton, New York is a small village in Madison County best known as the home of Colgate University.
  • E. Monroe
    Monroe is a city in southeastern Michigan known for its location along the River Raisin and its historical significance in the War of 1812.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec6b5ac8190abeb944857d912e6 completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:01 a.m.