Triple

T15299572
Position Surface form Disambiguated ID Type / Status
Subject Dunder Mifflin E365748 entity
Predicate employsFictionalCharacter P26582 FINISHED
Object Kevin Malone E223031 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: Kevin Malone | Statement: [Dunder Mifflin, employsFictionalCharacter, Kevin Malone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Malone
Context triple: [Dunder Mifflin, employsFictionalCharacter, Kevin Malone]
  • A. Kevin Malone chosen
    Kevin Malone is a bumbling, deadpan accountant at Dunder Mifflin known for his childlike simplicity, love of food, and unintentionally hilarious moments on the U.S. version of The Office.
  • B. Matt Malone
    Matt Malone is a relatively common personal name shared by multiple individuals across various professions, including sports, media, and entertainment.
  • C. Seán Malone
    Seán Malone is an Irish musician best known as the longtime bassist and Chapman Stick player for the progressive metal band Cynic.
  • D. Joe Bomowski
    Joe Bomowski is a fictional tough-but-comedic police sergeant portrayed by Sylvester Stallone in the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
  • E. Jeff Maguire
    Jeff Maguire is an American screenwriter best known for writing the political thriller film "In the Line of Fire."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef8513a08190b2d2a7dde85dd43d completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.