Triple

T2994828
Position Surface form Disambiguated ID Type / Status
Subject New York E81040 entity
Predicate governor P537 FINISHED
Object Kathy Hochul E1192 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: Kathy Hochul | Statement: [New York, governor, Kathy Hochul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathy Hochul
Context triple: [New York, governor, Kathy Hochul]
  • A. Kathy Hochul chosen
    Kathy Hochul is an American politician serving as the governor of New York and the first woman to hold that office.
  • B. William J. Hochul Jr.
    William J. Hochul Jr. is an American attorney and former U.S. Attorney for the Western District of New York, known also as the husband of New York Governor Kathy Hochul.
  • C. Matilda Cuomo
    Matilda Cuomo is an American advocate for children and families and former First Lady of New York, known for her work on mentoring and education initiatives.
  • D. Christopher Newsom
    Christopher Newsom was a young Knoxville, Tennessee man whose 2007 kidnapping, rape, and murder alongside Channon Christian drew national attention for its brutality and subsequent legal proceedings.
  • E. Andrew Cuomo
    Andrew Cuomo is an American politician and member of the Democratic Party who served as the 56th governor of New York from 2011 to 2021.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10908cfe48190bf244d5a3dbc958b completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:59 p.m.