Triple

T11545839
Position Surface form Disambiguated ID Type / Status
Subject Uka Uka E273773 entity
Predicate ally P4662 FINISHED
Object Doctor Neo Cortex E273771 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: Doctor Neo Cortex | Statement: [Uka Uka, ally, Doctor Neo Cortex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doctor Neo Cortex
Context triple: [Uka Uka, ally, Doctor Neo Cortex]
  • A. Doctor Neo Cortex chosen
    Doctor Neo Cortex is the mad scientist and primary villain of the Crash Bandicoot video game series, known for his schemes to conquer the world using genetically enhanced animals.
  • B. Dr. Robotnik
    Dr. Robotnik, also known as Doctor Eggman, is the main villain of the Sonic the Hedgehog franchise, a mad scientist obsessed with world domination and capturing Sonic using his army of robots.
  • C. Dr. Evil
    Dr. Evil is the bald, over-the-top supervillain and comedic arch-nemesis of Austin Powers in the Austin Powers film series.
  • D. Professor E. Gadd
    Professor E. Gadd is an eccentric ghost researcher and inventor in the Mario series, best known for equipping Luigi with gadgets like the Poltergust vacuum in the Luigi’s Mansion games.
  • E. Doctor Nefarious Tropy
    Doctor Nefarious Tropy is a time-manipulating villain and master of temporal technology in the Crash Bandicoot video game series.
  • 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_69ef824898e48190abb18307aa917c0c completed April 27, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:37 p.m.