Triple

T16209171
Position Surface form Disambiguated ID Type / Status
Subject Freeman Meskimen E393411 entity
Predicate child P120 FINISHED
Object Jim Meskimen E393412 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 Meskimen | Statement: [Freeman Meskimen, child, Jim Meskimen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Meskimen
Context triple: [Freeman Meskimen, child, Jim Meskimen]
  • A. Jim Meskimen chosen
    Jim Meskimen is an American actor, comedian, and impressionist known for his voice work in animation and video games as well as numerous film and television appearances.
  • B. Joe Messina
    Joe Messina was an American guitarist best known as one of Motown’s legendary session musicians, contributing to countless hits as part of the Funk Brothers.
  • C. Steve Meerson
    Steve Meerson is an American screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
  • D. Jim Bogios
    Jim Bogios is an American drummer best known for his long-time role as the percussionist for the rock band Counting Crows.
  • E. Jason Mantzoukas
    Jason Mantzoukas is an American actor, comedian, and podcaster known for his energetic, offbeat roles in film and television, including standout performances in projects like "The League," "Brooklyn Nine-Nine," and various comedy podcasts.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22711e4fc8190bf7a9f0c59b7889f completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed13b40819096de333872225730 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.