Triple

T9096671
Position Surface form Disambiguated ID Type / Status
Subject Greg Mullavey E218040 entity
Predicate playedCharacter P1507 FINISHED
Object Tom Hartman E261307 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: Tom Hartman | Statement: [Greg Mullavey, playedCharacter, Tom Hartman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Hartman
Context triple: [Greg Mullavey, playedCharacter, Tom Hartman]
  • A. Tom Hartman
    Tom Hartman is a notable resident associated with the community of Fernwood, Ohio, recognized for his local prominence or contributions there.
  • B. Tom Hartman chosen
    Tom Hartman is a central character in the satirical 1970s American soap opera parody "Mary Hartman, Mary Hartman," serving as Mary Hartman’s husband.
  • C. Michael Steven Hartman
    Michael Steven Hartman is the birth name of Mickey Hart, the renowned American percussionist and longtime drummer of the Grateful Dead.
  • D. Tom Hartnett
    Tom Hartnett is a notable individual distinguished enough to be recognized as a prominent bearer of the Hartnett surname.
  • E. Robert Hohman
    Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f36115c48190bdf0fe6c2eda1252 completed April 4, 2026, 11:17 a.m.
Created at: March 30, 2026, 7:15 p.m.