Triple

T4098597
Position Surface form Disambiguated ID Type / Status
Subject Governor of New Jersey E87882 entity
Predicate officeHolder P537 FINISHED
Object Phil Murphy E164550 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: Phil Murphy | Statement: [Governor of New Jersey, officeHolder, Phil Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Murphy
Context triple: [Governor of New Jersey, officeHolder, Phil Murphy]
  • A. Phil Murphy chosen
    Phil Murphy is an American Democratic politician and former financier who has served as the governor of New Jersey since 2018.
  • B. William L. Dayton
    William L. Dayton was a 19th-century American politician and diplomat who served as a U.S. senator from New Jersey and later as U.S. minister to France during the Civil War.
  • C. David Paterson
    David Paterson is an American politician who served as the 55th governor of New York and was the state's first Black and first legally blind governor.
  • D. Richard J. Codey
    Richard J. Codey is a longtime New Jersey politician who served as the state's governor and Senate president.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0bdea48190805a79515ee92709 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b725788819091c6aaeccfb86964 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.