Triple

T11156855
Position Surface form Disambiguated ID Type / Status
Subject Erin Hannon E263931 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Jim Halpert E788041 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 Halpert | Statement: [Erin Hannon, hasRelationshipWith, Jim Halpert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Halpert
Context triple: [Erin Hannon, hasRelationshipWith, 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 (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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46352e0688190924f15bc7d7ede90 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.