Triple

T4233721
Position Surface form Disambiguated ID Type / Status
Subject Michael Sununu E94641 entity
Predicate relative P37 FINISHED
Object John E. Sununu E7497 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: John E. Sununu | Statement: [Michael Sununu, relative, John E. Sununu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John E. Sununu
Context triple: [Michael Sununu, relative, John E. Sununu]
  • A. John E. Sununu chosen
    John E. Sununu is an American politician and engineer who served as a U.S. Representative and later as a U.S. Senator from New Hampshire.
  • B. John H. Sununu
    John H. Sununu is an American engineer and Republican politician best known for serving as governor of New Hampshire and White House Chief of Staff under President George H. W. Bush.
  • C. James Sununu
    James Sununu is a member of the prominent Sununu political family from New Hampshire, related to several high-profile Republican officeholders.
  • D. Michael Sununu
    Michael Sununu is a member of the prominent Sununu political family from New Hampshire, related to several high-profile Republican officeholders.
  • E. Chris Sununu
    Chris Sununu is an American Republican politician and businessman who has served as the governor of New Hampshire.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e6705548190b695b3789d713b4a completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a8630a4481909b9835aad51614b2 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.