Triple

T23162338
Position Surface form Disambiguated ID Type / Status
Subject Michael Bennett DiFiglia E578618 entity
Predicate workedOn P3 FINISHED
Object Coco
Coco is a 2017 Pixar animated film that follows a young boy's journey into the Land of the Dead to uncover his family's history and pursue his passion for music.
E46999 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: Coco | Statement: [Michael Bennett DiFiglia, workedOn, Coco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coco
Context triple: [Michael Bennett DiFiglia, workedOn, Coco]
  • A. Coco
    Coco is the debut studio album by American singer-songwriter Colbie Caillat, featuring her breakout hit "Bubbly" and a laid-back acoustic pop sound.
  • B. Coco
    Coco is a character in the satirical horror-thriller film "Velvet Buzzsaw," which explores the dark side of the contemporary art world.
  • C. Coco
    Coco is a pink poodle character from the Australian children's animated series "Bluey," known for being one of Bluey’s energetic and sometimes anxious friends.
  • D. Coco
    Coco is a supporting character in the 2006 crime drama film "Waist Deep," involved in the gritty urban underworld that drives the movie’s central conflict.
  • E. Coco
    Coco is a character featured in the story "The Wild Swan."
  • 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: Coco
Triple: [Michael Bennett DiFiglia, workedOn, Coco]
Generated description
Coco is a 2017 Pixar animated film that follows a young boy's journey into the Land of the Dead to uncover his family's history and pursue his passion for music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coco
Target entity description: Coco is a 2017 Pixar animated film that follows a young boy's journey into the Land of the Dead to uncover his family's history and pursue his passion for music.
  • A. Coco chosen
    Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
  • B. Coco
    Coco is a character in the satirical horror-thriller film "Velvet Buzzsaw," which explores the dark side of the contemporary art world.
  • C. Coco
    Coco is a character featured in the story "The Wild Swan."
  • D. Coco
    Coco is a quirky, bird-airplane-palm-tree hybrid imaginary friend from the animated series "Foster's Home for Imaginary Friends," known for her eccentric behavior and unique way of speaking.
  • E. Coco
    "Coco" is a notable work by Jason Katz, recognized for its creative storytelling and distinctive artistic style.
  • F. None of above.

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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f019cd881908e3c68d99454da2a completed April 29, 2026, 4:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30a21a548190add77bc839424eb3 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c330135cc8190b5a0e512bda6277d completed May 19, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c375dd5a4819097a80ae43a1c4442 completed May 19, 2026, 10:11 a.m.
Created at: April 17, 2026, 4:02 p.m.