Triple

T21990847
Position Surface form Disambiguated ID Type / Status
Subject Athlead E543081 entity
Predicate employsCharacter P26582 FINISHED
Object Jim Halpert 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: Jim Halpert | Statement: [Athlead, employsCharacter, Jim Halpert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Halpert
Context triple: [Athlead, employsCharacter, Jim Halpert]
  • A. Jim Halpert chosen
    Jim Halpert is a witty and laid-back salesman at Dunder Mifflin known for his pranks on Dwight and his romance with Pam in the U.S. version of The Office.
  • B. Michael Scott
    Michael Scott is the socially awkward yet well-meaning regional manager of Dunder Mifflin’s Scranton branch, known for his cringeworthy humor and desperate need to be liked.
  • C. Michael Scott
    Michael Scott was a prominent Irish architect best known as a founding figure of modernist architecture in Ireland and the creator of landmark projects such as Dublin’s Busáras.
  • D. Michael Scott Ryan
    Michael Scott Ryan is a British author and academic best known as the husband of actress Jennifer Ehle.
  • E. Mose Schrute
    Mose Schrute is a socially awkward, eccentric beet farmer and Dwight Schrute’s cousin who lives and works at Schrute Farms in the U.S. version of The Office.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270d7cbc819086eea86be04a2ec0 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.