Triple

T11545662
Position Surface form Disambiguated ID Type / Status
Subject Andy Gavin E273769 entity
Predicate notableSeries P3199 FINISHED
Object Jak and Daxter E403910 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: Jak and Daxter | Statement: [Andy Gavin, notableSeries, Jak and Daxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jak and Daxter
Context triple: [Andy Gavin, notableSeries, Jak and Daxter]
  • A. Jak and Daxter chosen
    Jak and Daxter is a popular action-adventure video game series by Naughty Dog known for its platforming, open-world exploration, and evolving narrative across multiple titles.
  • B. Ratchet & Clank
    Ratchet & Clank is a popular action-platformer video game series featuring a Lombax mechanic and his robot companion on comedic, sci-fi adventures across the galaxy.
  • C. Daxter
    Daxter is a wisecracking ottsel and the comedic sidekick protagonist from the Jak and Daxter video game series.
  • D. The Jet Set
    The Jet Set was an early name used by the American rock band The Byrds before they achieved fame in the mid-1960s.
  • E. Crash Bandicoot
    Crash Bandicoot is a popular platform video game franchise featuring a genetically enhanced bandicoot protagonist battling the evil Dr. Neo Cortex across colorful, obstacle-filled levels.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e3ad548190b2c88332f5d919bd completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e82153f48190ae64146d7f28b780 completed April 21, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:37 p.m.