Triple

T21627275
Position Surface form Disambiguated ID Type / Status
Subject Ballblazer E533735 entity
Predicate publisher P29 FINISHED
Object Epyx NE NERFINISHED

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: Epyx | Statement: [Ballblazer, publisher, Epyx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epyx
Context triple: [Ballblazer, publisher, Epyx]
  • A. Epyx chosen
    Epyx was a video game developer and publisher best known for its popular sports and action titles in the 1980s, including the "Games" series on home computers.
  • B. Mastertronic
    Mastertronic was a prominent British budget video game publisher and distributor in the 1980s, known for releasing low-cost titles across home computer and console platforms.
  • C. Atari Games
    Atari Games was an American video game developer and arcade game manufacturer best known for creating influential coin-operated titles during the 1980s and early 1990s.
  • D. Interplay Productions
    Interplay Productions is an American video game developer and publisher best known for creating influential role-playing games, including the original Fallout series.
  • E. MicroProse
    MicroProse is a pioneering video game developer and publisher best known for its influential strategy and simulation titles, including early entries in the Civilization series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52141e1c8190a861f4bc7cfcb490 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.