Triple

T16724349
Position Surface form Disambiguated ID Type / Status
Subject Governor of Connecticut E406430 entity
Predicate officeHolder P537 FINISHED
Object Ned Lamont E63943 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: Ned Lamont | Statement: [Governor of Connecticut, officeHolder, Ned Lamont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ned Lamont
Context triple: [Governor of Connecticut, officeHolder, Ned Lamont]
  • A. Ned Lamont chosen
    Ned Lamont is an American businessman and Democratic politician serving as the governor of Connecticut.
  • B. Angus King
    Angus King is an American politician and attorney serving as an independent U.S. Senator from Maine.
  • C. R. Christopher Murphy
    R. Christopher Murphy is a screenwriter best known for co-writing the 2019 horror-comedy film "Ready or Not."
  • D. Lamont Sanford
    Lamont Sanford is a central character from the classic American sitcom "Sanford and Son," known as the long-suffering, pragmatic son who runs a junk business with his cantankerous father, Fred Sanford.
  • E. Jeffrey T. Ferraro
    Jeffrey T. Ferraro is an individual notable enough to be recognized as a namesake of the surname Ferraro, though specific widely known public details about his life or work are not readily available.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38745d2048190b476e5aa83ec7fec completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a518019881909a7c5ef344966579 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:20 a.m.