Triple

T10243610
Position Surface form Disambiguated ID Type / Status
Subject Greg Amsinger E243659 entity
Predicate isKnownAs P39 FINISHED
Object Greg Amsinger E243659 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: Greg Amsinger | Statement: [Greg Amsinger, isKnownAs, Greg Amsinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Amsinger
Context triple: [Greg Amsinger, isKnownAs, Greg Amsinger]
  • A. Greg Amsinger chosen
    Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
  • B. Greg Medavoy
    Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
  • C. Joe Rohde
    Joe Rohde is an American creative executive and former Walt Disney Imagineer best known for leading the design of Disney’s Animal Kingdom and other highly themed, story-driven attractions.
  • D. Rick Blangiardi
    Rick Blangiardi is an American politician and former television executive who serves as the mayor of Honolulu, Hawaii.
  • E. Timothy Omundson
    Timothy Omundson is an American actor best known for his comedic and dramatic television roles, particularly as Detective Carlton Lassiter on the series "Psych."
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22a76188190a73df23bfb08eb3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e33a0088190b1cad6ada8beb345 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:25 a.m.