Triple

T9762483
Position Surface form Disambiguated ID Type / Status
Subject Gael García Bernal E236701 entity
Predicate portrayed P1668 FINISHED
Object Héctor in Coco
Héctor in Coco is a charming, skeletal trickster from the Land of the Dead who becomes a key mentor and long-lost family member to the film’s young protagonist, Miguel.
 E820469 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: Héctor in Coco | Statement: [Gael García Bernal, portrayed, Héctor in Coco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Héctor in Coco
Context triple: [Gael García Bernal, portrayed, Héctor in Coco]
  • A. Coco (Dronkey)
    Coco is one of the hybrid dragon-donkey offspring, or "Dronkeys," born to Donkey and Dragon in the Shrek film series.
  • B. Miguel
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • C. Miguel
    Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
  • D. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • E. Jaimito
    Jaimito is the Spanish diminutive form of the given name Jaime, commonly used as an affectionate nickname.
  • 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: Héctor in Coco
Triple: [Gael García Bernal, portrayed, Héctor in Coco]
Generated description
Héctor in Coco is a charming, skeletal trickster from the Land of the Dead who becomes a key mentor and long-lost family member to the film’s young protagonist, Miguel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Héctor in Coco
Target entity description: Héctor in Coco is a charming, skeletal trickster from the Land of the Dead who becomes a key mentor and long-lost family member to the film’s young protagonist, Miguel.
  • A. Coco (Dronkey)
    Coco is one of the hybrid dragon-donkey offspring, or "Dronkeys," born to Donkey and Dragon in the Shrek film series.
  • B. Miguel
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • C. Miguel
    Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
  • D. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • E. Jaimito
    Jaimito is the Spanish diminutive form of the given name Jaime, commonly used as an affectionate nickname.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda04c70108190a8ed09eb6f2a124e completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcec777c81908b2eff64f4756517 completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1beefbd1c8190bab597373231cca1 completed April 5, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1bf4bb6088190801095cacd218571 completed April 5, 2026, 1:47 a.m.
Created at: March 30, 2026, 8:25 p.m.