Triple

T5741521
Position Surface form Disambiguated ID Type / Status
Subject Jim Halpert E126624 entity
Predicate spouse P13 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: [Jim Halpert, spouse, Pam Beesly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Beesly
Context triple: [Jim Halpert, spouse, 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. 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.
  • E. Joan Holloway
    Joan Holloway is a poised and ambitious office manager-turned-partner at a 1960s New York advertising agency in the television series "Mad Men," known for her sharp wit, competence, and complex personal life.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.