Triple

T8035709
Position Surface form Disambiguated ID Type / Status
Subject Kung Fu Panda 3 E187101 entity
Predicate mainCharacter P1183 FINISHED
Object Viper
Viper is a graceful and skilled green snake kung fu master from the Kung Fu Panda film series, known for her agility, kindness, and combat prowess as a member of the Furious Five.
 E708893 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: Viper | Statement: [Kung Fu Panda 3, mainCharacter, Viper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viper
Context triple: [Kung Fu Panda 3, mainCharacter, Viper]
  • A. Viper
    Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
  • B. Viper
    Viper is a wooden roller coaster at Six Flags Great America known for its classic out-and-back layout and airtime-focused ride experience.
  • C. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • D. Cobra
    Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
  • E. Prowler
    Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
  • 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: Viper
Triple: [Kung Fu Panda 3, mainCharacter, Viper]
Generated description
Viper is a graceful and skilled green snake kung fu master from the Kung Fu Panda film series, known for her agility, kindness, and combat prowess as a member of the Furious Five.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viper
Target entity description: Viper is a graceful and skilled green snake kung fu master from the Kung Fu Panda film series, known for her agility, kindness, and combat prowess as a member of the Furious Five.
  • A. Viper
    Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
  • B. Viper
    Viper is a wooden roller coaster at Six Flags Great America known for its classic out-and-back layout and airtime-focused ride experience.
  • C. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • D. Cobra
    Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
  • E. Prowler
    Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56f493908190b68e791cdbe725fa completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc5ca6efbc819082f4c643446da354 completed March 31, 2026, 11:45 p.m.
NED2 Entity disambiguation (via description) batch_69cc5d6d93f08190b17d6c7a4fad2cf0 completed March 31, 2026, 11:49 p.m.
Created at: March 30, 2026, 5:22 p.m.