Triple

T14671366
Position Surface form Disambiguated ID Type / Status
Subject Tello E344518 entity
Predicate hasNotableBearer P458 FINISHED
Object Óscar Tello
Óscar Tello is a person notable enough to be recognized as a prominent bearer of the surname Tello.
E1162755 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: Óscar Tello | Statement: [Tello, hasNotableBearer, Óscar Tello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Óscar Tello
Context triple: [Tello, hasNotableBearer, Óscar Tello]
  • A. Cristóbal Torriente
    Cristóbal Torriente was a Cuban-born Negro Leagues baseball star of the early 20th century, renowned as a powerful left-handed hitter and outstanding all-around outfielder often compared to Babe Ruth.
  • B. Eugenio Caballero
    Eugenio Caballero is an Academy Award–winning Mexican production designer known for his visually distinctive work on films such as "Pan’s Labyrinth" and other international art-house and genre productions.
  • C. Manuel Rojas
    Manuel Rojas was the husband of American film actress and model Martha Vickers.
  • D. Manuel Rojas
    Manuel Rojas was a 19th-century Puerto Rican revolutionary best known for leading the Grito de Lares uprising for the island’s independence from Spanish colonial rule.
  • E. Luis Colina
    Luis Colina is a film editor known for his work on the movie "Sugar Hill."
  • 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: Óscar Tello
Triple: [Tello, hasNotableBearer, Óscar Tello]
Generated description
Óscar Tello is a person notable enough to be recognized as a prominent bearer of the surname Tello.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Óscar Tello
Target entity description: Óscar Tello is a person notable enough to be recognized as a prominent bearer of the surname Tello.
  • A. Cristóbal Torriente
    Cristóbal Torriente was a Cuban-born Negro Leagues baseball star of the early 20th century, renowned as a powerful left-handed hitter and outstanding all-around outfielder often compared to Babe Ruth.
  • B. Eugenio Caballero
    Eugenio Caballero is an Academy Award–winning Mexican production designer known for his visually distinctive work on films such as "Pan’s Labyrinth" and other international art-house and genre productions.
  • C. Manuel Rojas
    Manuel Rojas was a 19th-century Puerto Rican revolutionary best known for leading the Grito de Lares uprising for the island’s independence from Spanish colonial rule.
  • D. Manuel Rojas
    Manuel Rojas was the husband of American film actress and model Martha Vickers.
  • E. Luis Colina
    Luis Colina is a film editor known for his work on the movie "Sugar Hill."
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ef2908190b189ced65eec434a completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d379bc881908b7954c633787165 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff419dbffc8190bab9ae378e2f6858 completed May 9, 2026, 2:15 p.m.
NED2 Entity disambiguation (via description) batch_69ff41e95bf08190965a870acb72edb6 completed May 9, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:27 a.m.