Triple

T12911757
Position Surface form Disambiguated ID Type / Status
Subject Black Isle Studios E308879 entity
Predicate keyPerson P256 FINISHED
Object Chris Avellone E915588 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: Chris Avellone | Statement: [Black Isle Studios, keyPerson, Chris Avellone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Avellone
Context triple: [Black Isle Studios, keyPerson, Chris Avellone]
  • A. Chris Avellone chosen
    Chris Avellone is an American video game designer and writer best known for his work on critically acclaimed role-playing games such as Planescape: Torment and the Fallout series.
  • B. Chris Metzen
    Chris Metzen is an American game designer, writer, and voice actor best known for shaping the lore and universes of Blizzard Entertainment franchises such as Warcraft, StarCraft, and Diablo.
  • C. Richard Devine
    Richard Devine is an American electronic musician and sound designer known for his complex, experimental compositions and work in film, games, and technology.
  • D. Chris Mundy
    Chris Mundy is a television writer and producer best known as the showrunner of the crime drama series "Ozark."
  • E. Brian Reynolds
    Brian Reynolds is a technology entrepreneur best known as a founder of the enterprise software company Micro Focus.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719f96248190b746f9d4a468560c completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56b50b48190a0deefd491ed8c4a completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.