Triple

T9402409
Position Surface form Disambiguated ID Type / Status
Subject Dwight Schrute E226504 entity
Predicate coworker P398 FINISHED
Object Stanley Hudson E223030 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: Stanley Hudson | Statement: [Dwight Schrute, coworker, Stanley Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Hudson
Context triple: [Dwight Schrute, coworker, Stanley Hudson]
  • A. Stanley Hudson chosen
    Stanley Hudson is a gruff, crossword-loving sales representative at Dunder Mifflin known for his deadpan humor and apathy toward office antics in the U.S. version of The Office.
  • B. Stanley Arthurs
    Stanley Arthurs was an American illustrator known for his historical and narrative paintings, particularly scenes of early American history, and as a prominent student of Howard Pyle.
  • C. Stanley Crawford
    Stanley Crawford is the skeptical English illusionist and main character in Woody Allen's romantic comedy film "Magic in the Moonlight."
  • D. Stanley Ralph
    Stanley Ralph is the son of American actress and singer Sheryl Lee Ralph.
  • E. Stanley Booth
    Stanley Booth is an American music journalist and author best known for his writings on rock and blues, particularly his acclaimed book about the Rolling Stones.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51be35cc8190bafad423a142c305 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d178d2620c819099632f73cc6eff5b completed April 4, 2026, 8:47 p.m.
Created at: March 30, 2026, 7:46 p.m.