Triple

T60149
Position Surface form Disambiguated ID Type / Status
Subject Kathy Hochul E1192 entity
Predicate name P16 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: [Kathy Hochul, name, Kathy Hochul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathy Hochul
Context triple: [Kathy Hochul, name, 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. Claudine Gay
    Claudine Gay is an American political scientist and academic leader who served as the 30th president of Harvard University and the first Black person to hold the position.
  • C. Lieutenant Governor of New York
    The Lieutenant Governor of New York is the state’s second-highest executive officer, who succeeds the governor if necessary and often plays a key role in legislative and administrative functions.
  • D. Attorney General of New York
    The Attorney General of New York is the state's chief legal officer, responsible for representing New York in legal matters, enforcing state laws, and protecting the public interest.
  • E. Jennifer Siebel Newsom
    Jennifer Siebel Newsom is an American documentary filmmaker, actor, and advocate for gender equality who serves as the First Partner of California.
  • 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_69a24a552ef88190a0df287d68c65cba completed Feb. 28, 2026, 1:52 a.m.
NER Named-entity recognition batch_69a24ec5f46081909f3ba0b25190282b completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c19b6088190af308ead33ae784e completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 1:55 a.m.