Triple

T11049542
Position Surface form Disambiguated ID Type / Status
Subject Happy Feet E261209 entity
Predicate mainCharacter P1183 FINISHED
Object Mumble
Mumble is the tap-dancing emperor penguin protagonist of the animated film "Happy Feet."
E901274 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: Mumble | Statement: [Happy Feet, mainCharacter, Mumble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mumble
Context triple: [Happy Feet, mainCharacter, Mumble]
  • A. Humble Mumble
    "Humble Mumble" is a genre-blending hip hop track by OutKast featuring Erykah Badu, noted for its experimental production and introspective lyrics.
  • B. Bleep
    Bleep is an online music store and digital download platform associated with Warp Records, known for offering independent and experimental music.
  • C. Bootle
    Bootle is a town in the Metropolitan Borough of Sefton in Merseyside, England, situated just north of Liverpool and historically known for its docks and industrial heritage.
  • D. Mambo Mouth
    Mambo Mouth is a one-man off-Broadway stage show by John Leguizamo in which he portrays multiple Latino characters in a fast-paced, comedic performance.
  • E. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • 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: Mumble
Triple: [Happy Feet, mainCharacter, Mumble]
Generated description
Mumble is the tap-dancing emperor penguin protagonist of the animated film "Happy Feet."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mumble
Target entity description: Mumble is the tap-dancing emperor penguin protagonist of the animated film "Happy Feet."
  • A. Humble Mumble
    "Humble Mumble" is a genre-blending hip hop track by OutKast featuring Erykah Badu, noted for its experimental production and introspective lyrics.
  • B. Bleep
    Bleep is an online music store and digital download platform associated with Warp Records, known for offering independent and experimental music.
  • C. Bootle
    Bootle is a town in the Metropolitan Borough of Sefton in Merseyside, England, situated just north of Liverpool and historically known for its docks and industrial heritage.
  • D. Mambo Mouth
    Mambo Mouth is a one-man off-Broadway stage show by John Leguizamo in which he portrays multiple Latino characters in a fast-paced, comedic performance.
  • E. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa06bae08190a0db615a258ded29 completed April 18, 2026, 3:57 p.m.
NEDg Description generation batch_69e3ad0379888190b2f56d36d79bf97d completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b206c7a4819087eb06faa6e1af21 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.