Triple

T3528932
Position Surface form Disambiguated ID Type / Status
Subject Andy Bernard E74608 entity
Predicate hasFriendshipWith P8712 FINISHED
Object Erin Hannon E263931 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: Erin Hannon | Statement: [Andy Bernard, hasFriendshipWith, Erin Hannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erin Hannon
Context triple: [Andy Bernard, hasFriendshipWith, Erin Hannon]
  • A. Erin Hannon chosen
    Erin Hannon is a cheerful, somewhat naive receptionist at Dunder Mifflin who becomes a central character in the later seasons of the U.S. version of The Office.
  • B. Erin Reagan
    Erin Reagan is a principled assistant district attorney and member of the Reagan family on the television series "Blue Bloods."
  • C. Erin McDermott
    Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
  • D. Meghan McDermott
    Meghan McDermott is an American public relations and communications professional best known for her marriage to actor Theo Rossi.
  • E. Heather O’Rourke
    Heather O’Rourke was an American child actress best known for her role as Carol Anne Freeling in the "Poltergeist" film series.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f58290881908c7622616a829c75 completed March 20, 2026, 5:09 p.m.
Created at: March 8, 2026, 3:19 p.m.