Triple

T16008860
Position Surface form Disambiguated ID Type / Status
Subject Dungeons & Dragons E388287 entity
Predicate originalPublisher P1760 FINISHED
Object TSR, Inc. E563063 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: TSR, Inc. | Statement: [Dungeons & Dragons, originalPublisher, TSR, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSR, Inc.
Context triple: [Dungeons & Dragons, originalPublisher, TSR, Inc.]
  • A. TSR, Inc. chosen
    TSR, Inc. was an American game publishing company best known as the original creator and publisher of the Dungeons & Dragons role-playing game.
  • B. TSR
    TSR is the IATA airport code for Timișoara Traian Vuia International Airport, a major air transport hub in western Romania.
  • C. DTS, Inc.
    DTS, Inc. is an American audio technology company best known for its high-definition surround sound formats used in cinema, home theater, and consumer electronics.
  • D. Taylor Corporation
    Taylor Corporation is a large privately held American printing and marketing communications company founded and owned by businessman Glen Taylor.
  • E. T.A.T. Communications Company
    T.A.T. Communications Company was a television production company best known for producing popular American sitcoms in the 1970s and 1980s.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828e9e708190aec0078913bf098a completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf22db3481909141ddef151d0341 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.