Triple

T20177590
Position Surface form Disambiguated ID Type / Status
Subject Chris Pontius E492640 entity
Predicate name P16 FINISHED
Object Chris Pontius NE NERFINISHED

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: Chris Pontius | Statement: [Chris Pontius, name, Chris Pontius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Pontius
Context triple: [Chris Pontius, name, Chris Pontius]
  • A. Chris Pontius chosen
    Chris Pontius is an American stunt performer, actor, and comedian best known for his outrageous and often semi-nude antics on the MTV reality series and film franchise "Jackass."
  • B. Christopher Scarabosio
    Christopher Scarabosio is a sound designer and voice actor known for his work on animated and science fiction films, including providing voices in "Titan A.E."
  • C. Tom Courtney
    Tom Courtney is the central protagonist of the film "Monsoon," around whom the story’s primary events and character development revolve.
  • D. Craig Plestis
    Craig Plestis is a television producer best known for developing and executive producing hit reality competition shows, including the U.S. version of "The Masked Singer."
  • E. Ward Poulos
    Ward Poulos is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ec4d7c81909fa4bdc58ed54aeb completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.