Triple

T9402408
Position Surface form Disambiguated ID Type / Status
Subject Dwight Schrute E226504 entity
Predicate coworker P398 FINISHED
Object Pam Beesly E223028 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: Pam Beesly | Statement: [Dwight Schrute, coworker, Pam Beesly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Beesly
Context triple: [Dwight Schrute, coworker, Pam Beesly]
  • A. Pam Beesly chosen
    Pam Beesly is a shy but witty receptionist-turned-office administrator and aspiring artist, best known as one of the central characters on the U.S. version of The Office.
  • B. Peggy Olson
    Peggy Olson is a central character in the television series "Mad Men," known for her rise from secretary to pioneering female copywriter in the 1960s advertising world.
  • C. Lisa Roberts
    Lisa Roberts is one of the children of Ralph J. Roberts, the American businessman best known as a co-founder of Comcast.
  • D. 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.
  • E. Renee Montgomery
    Renee Montgomery is a former WNBA point guard, two-time league champion, and social justice advocate who later became a co-owner and executive of the Atlanta Dream.
  • 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_69d19f5997a48190b8a08c7aee12c90d completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 7:46 p.m.