Triple

T3740284
Position Surface form Disambiguated ID Type / Status
Subject Presidential Task Force on the Auto Industry E79681 entity
Predicate hasMember P10 FINISHED
Object Jim Messina E259028 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: Jim Messina | Statement: [Presidential Task Force on the Auto Industry, hasMember, Jim Messina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Messina
Context triple: [Presidential Task Force on the Auto Industry, hasMember, Jim Messina]
  • A. Jim Messina chosen
    Jim Messina is an American political strategist best known for managing Barack Obama’s successful 2012 presidential re-election campaign.
  • B. Jeff Pagliocca
    Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
  • C. Christian Stovitz
    Christian Stovitz is a stylish, charming new student and love interest in the 1995 teen comedy film "Clueless," known for his retro fashion sense and eventual revelation as gay.
  • D. Nick Mitzevich
    Nick Mitzevich is an Australian art curator and museum director known for leading major national art institutions, including the National Gallery of Australia.
  • E. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb5344fc8190b183aca5c04e3bcc completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.