Triple

T13384112
Position Surface form Disambiguated ID Type / Status
Subject Flaked E319393 entity
Predicate mainCharacter P1183 FINISHED
Object Chip
Chip is the neurotic, washed-up former child star of a 1990s cartoon duo and the central character of the animated comedy series "Flaked."
 E1036383 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: Chip | Statement: [Flaked, mainCharacter, Chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chip
Context triple: [Flaked, mainCharacter, Chip]
  • A. Chip
    Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
  • B. Chip
    Chip is an American sportscaster best known for his play-by-play announcing of Major League Baseball games, continuing the broadcasting legacy of the Caray family.
  • C. Chip
    Chip is the young teacup character from Disney's "Beauty and the Beast," known for his innocence, curiosity, and close relationship with Mrs. Potts.
  • D. Chip
    Chip is a British rapper and songwriter known for his influential role in the UK grime and hip-hop scenes.
  • E. Chip
    Chip is the commonly used nickname of American politician Chip Roy, a U.S. Representative from Texas.
  • 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: Chip
Triple: [Flaked, mainCharacter, Chip]
Generated description
Chip is the neurotic, washed-up former child star of a 1990s cartoon duo and the central character of the animated comedy series "Flaked."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chip
Target entity description: Chip is the neurotic, washed-up former child star of a 1990s cartoon duo and the central character of the animated comedy series "Flaked."
  • A. Chip
    Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
  • B. Chip
    Chip is an American sportscaster best known for his play-by-play announcing of Major League Baseball games, continuing the broadcasting legacy of the Caray family.
  • C. Chip
    Chip is the young teacup character from Disney's "Beauty and the Beast," known for his innocence, curiosity, and close relationship with Mrs. Potts.
  • D. Chip
    Chip is a British rapper and songwriter known for his influential role in the UK grime and hip-hop scenes.
  • E. Chip
    Chip is the commonly used nickname of American politician Chip Roy, a U.S. Representative from Texas.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7276776ec81908769cd9f1cc4707e completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f7280cbb6c819090bee7862e00b900 completed May 3, 2026, 10:48 a.m.
Created at: April 9, 2026, 9:33 p.m.