Triple

T16412420
Position Surface form Disambiguated ID Type / Status
Subject Dennis Dugan E398598 entity
Predicate hasWorkedWith P9615 FINISHED
Object Rob Schneider E445252 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: Rob Schneider | Statement: [Dennis Dugan, hasWorkedWith, Rob Schneider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rob Schneider
Context triple: [Dennis Dugan, hasWorkedWith, Rob Schneider]
  • A. Rob Schneider chosen
    Rob Schneider is an American actor and comedian known for his roles in numerous Adam Sandler films and other broad Hollywood comedies.
  • B. Rob Corddry
    Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
  • C. Paul Lieberstein
    Paul Lieberstein is an American writer, producer, and actor best known for playing HR representative Toby Flenderson and serving as a key writer and showrunner on the U.S. version of "The Office."
  • D. Ben Granfelt
    Ben Granfelt is a Finnish rock and blues guitarist known for his solo work and for playing with bands such as Leningrad Cowboys and Wishbone Ash.
  • E. Nate Corddry
    Nate Corddry is an American actor and comedian known for his television work, including prominent roles in series such as "Studio 60 on the Sunset Strip" and "Mom."
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32874a0cc8190874aea10b1d13004 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758847948190b616cc85e208ee61 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:09 a.m.