Triple

T15299629
Position Surface form Disambiguated ID Type / Status
Subject Andrew Baines Bernard E365749 entity
Predicate catchphrase P42 FINISHED
Object “Nard Dog” E365750 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: “Nard Dog” | Statement: [Andrew Baines Bernard, catchphrase, “Nard Dog”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Nard Dog”
Context triple: [Andrew Baines Bernard, catchphrase, “Nard Dog”]
  • A. Nard Dog chosen
    Nard Dog is the goofy, a cappella-loving salesman and later manager Andy Bernard from the U.S. version of the TV show "The Office."
  • B. Mad Dog
    Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
  • C. Black Dogs
    "Black Dogs" is a 1992 novel by Ian McEwan that explores the aftermath of World War II and the clash between rationalism and spiritual belief through the story of a troubled marriage.
  • D. Heart of a Dog
    Heart of a Dog is a satirical science fiction novella by Mikhail Bulgakov that critiques Soviet society through the story of a stray dog transformed into a human.
  • E. The Skunk
    "The Skunk" is a reflective poem by Seamus Heaney that tenderly portrays marital love and longing through the vivid, nocturnal image of a skunk.
  • 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.