Triple

T10201722
Position Surface form Disambiguated ID Type / Status
Subject Almost Human E238897 entity
Predicate mainCharacter P1183 FINISHED
Object Maldonado
Maldonado is a key character in the science-fiction television series "Almost Human," serving as a high-ranking police official who oversees the show's central investigative team.
 E847524 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: Maldonado | Statement: [Almost Human, mainCharacter, Maldonado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maldonado
Context triple: [Almost Human, mainCharacter, Maldonado]
  • A. Maldonado
    Maldonado is a coastal city in southeastern Uruguay that serves as the capital of Maldonado Department and a key urban center near the resort town of Punta del Este.
  • B. Núñez
    Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
  • C. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • D. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • E. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • 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: Maldonado
Triple: [Almost Human, mainCharacter, Maldonado]
Generated description
Maldonado is a key character in the science-fiction television series "Almost Human," serving as a high-ranking police official who oversees the show's central investigative team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maldonado
Target entity description: Maldonado is a key character in the science-fiction television series "Almost Human," serving as a high-ranking police official who oversees the show's central investigative team.
  • A. Maldonado
    Maldonado is a coastal city in southeastern Uruguay that serves as the capital of Maldonado Department and a key urban center near the resort town of Punta del Este.
  • B. Núñez
    Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
  • C. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • D. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • E. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317fcdf18819092d0f3f216edffdc completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d3191e8e088190a8d6a337443da536 completed April 6, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69d31d4218d08190947ed2bbc7021dd9 completed April 6, 2026, 2:41 a.m.
Created at: March 30, 2026, 9:14 p.m.