Triple

T11567447
Position Surface form Disambiguated ID Type / Status
Subject Oscar Martinez E274290 entity
Predicate employer P7 FINISHED
Object Dunder Mifflin E365748 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: Dunder Mifflin | Statement: [Oscar Martinez, employer, Dunder Mifflin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunder Mifflin
Context triple: [Oscar Martinez, employer, Dunder Mifflin]
  • A. Dunder Mifflin chosen
    Dunder Mifflin is the fictional mid-sized paper supply company that serves as the primary setting for the U.S. television series "The Office."
  • B. Michael Scott Paper Company
    The Michael Scott Paper Company is a short-lived, employee-run paper sales startup created by Michael Scott in the U.S. television series "The Office."
  • C. Staples
    Staples is a surname most prominently associated with American singer and civil rights activist Mavis Staples.
  • D. Staples Inc.
    Staples Inc. is a major American office supply retail company known for its chain of stores and business-to-business services.
  • E. Randalls
    Randalls is the country estate of the Weston family in Jane Austen's novel "Emma," serving as a key social setting for several important events in the story.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8c9a22c8190812c64b9f305ae99 completed April 21, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:37 p.m.