Triple

T11545752
Position Surface form Disambiguated ID Type / Status
Subject Doctor Neo Cortex E273771 entity
Predicate ally P4662 FINISHED
Object Doctor N. Gin
Doctor N. Gin is a deranged, rocket-headed scientist and weapons expert who serves as one of the primary villainous henchmen in the Crash Bandicoot video game series.
 E931042 NE FINISHED

How this triple was built (4 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 N. Gin | Statement: [Doctor Neo Cortex, ally, Doctor N. Gin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doctor N. Gin
Context triple: [Doctor Neo Cortex, ally, Doctor N. Gin]
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Dr. Julius No
    Dr. Julius No is a fictional criminal mastermind and the titular villain of Ian Fleming’s James Bond novel and its 1962 film adaptation, known for his metal hands and plot to disrupt American missile tests.
  • D. Mr. Wong
    Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
  • E. Go Shiina
    Go Shiina is a Japanese composer known for his dramatic, richly orchestrated soundtracks for anime, video games, and television.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Doctor N. Gin
Triple: [Doctor Neo Cortex, ally, Doctor N. Gin]
Generated description
Doctor N. Gin is a deranged, rocket-headed scientist and weapons expert who serves as one of the primary villainous henchmen in the Crash Bandicoot video game series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doctor N. Gin
Target entity description: Doctor N. Gin is a deranged, rocket-headed scientist and weapons expert who serves as one of the primary villainous henchmen in the Crash Bandicoot video game series.
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Dr. Julius No
    Dr. Julius No is a fictional criminal mastermind and the titular villain of Ian Fleming’s James Bond novel and its 1962 film adaptation, known for his metal hands and plot to disrupt American missile tests.
  • D. Mr. Wong
    Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
  • E. Go Shiina
    Go Shiina is a Japanese composer known for his dramatic, richly orchestrated soundtracks for anime, video games, and television.
  • F. None of above. chosen

Provenance (5 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_69e685de2bf88190b1f59513fd47feeb completed April 20, 2026, 8 p.m.
NEDg Description generation batch_69e68fd9d1b88190ba6057a52f51c961 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e69f3de9208190b65f25c3e2d6e222 completed April 20, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:37 p.m.