Triple

T16457540
Position Surface form Disambiguated ID Type / Status
Subject The Green Hornet (2011 film) E399719 entity
Predicate character P662 FINISHED
Object Kato
Kato is the highly skilled martial artist, mechanic, and sidekick who partners with the Green Hornet to fight crime.
E1214687 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: Kato | Statement: [The Green Hornet (2011 film), character, Kato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kato
Context triple: [The Green Hornet (2011 film), character, Kato]
  • A. Kato
    Kato is a Japanese surname shared by numerous notable individuals across fields such as entertainment, sports, and politics.
  • B. Kato
    Kato is an indigenous Athabaskan language traditionally spoken in northern California by the Kato people.
  • C. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • D. Kato Kleines
    Kato Kleines is a village located in the Florina regional unit of Western Macedonia in northern Greece.
  • E. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • 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: Kato
Triple: [The Green Hornet (2011 film), character, Kato]
Generated description
Kato is the highly skilled martial artist, mechanic, and sidekick who partners with the Green Hornet to fight crime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kato
Target entity description: Kato is the highly skilled martial artist, mechanic, and sidekick who partners with the Green Hornet to fight crime.
  • A. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • B. Kato
    Kato is a Japanese surname shared by numerous notable individuals across fields such as entertainment, sports, and politics.
  • C. Kato
    Kato is an indigenous Athabaskan language traditionally spoken in northern California by the Kato people.
  • D. Kato Kleines
    Kato Kleines is a village located in the Florina regional unit of Western Macedonia in northern Greece.
  • E. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ef5cc819084cfeb1a3e39d3cc completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f51d93081909ede0adcf8e604d4 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a004fb5c28c81909da3d7b9b5c2be72 completed May 10, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_6a00504d177c8190b4a4b4202d0167bb completed May 10, 2026, 9:30 a.m.
Created at: April 10, 2026, 5:10 a.m.