Triple

T14781407
Position Surface form Disambiguated ID Type / Status
Subject Rojo E347396 entity
Predicate hasNotableBearer P458 FINISHED
Object Ángel Rojo
Ángel Rojo is a Spanish former professional footballer known for his career as a forward in La Liga during the 1970s and 1980s.
 E1119055 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: Ángel Rojo | Statement: [Rojo, hasNotableBearer, Ángel Rojo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ángel Rojo
Context triple: [Rojo, hasNotableBearer, Ángel Rojo]
  • A. Ángel
    Ángel is a given name of Spanish origin commonly used for males and derived from the word for “angel.”
  • B. El Ángel
    El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
  • C. El Rojo
    El Rojo is the famous nickname of Argentine football club Club Atlético Independiente, alluding to its traditional red colors and passionate identity.
  • D. Arcángel
    Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
  • E. El Zagal
    El Zagal was a late 15th-century Nasrid ruler and military leader of Granada who fiercely resisted the Catholic Monarchs during the final phase of the Reconquista.
  • 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: Ángel Rojo
Triple: [Rojo, hasNotableBearer, Ángel Rojo]
Generated description
Ángel Rojo is a Spanish former professional footballer known for his career as a forward in La Liga during the 1970s and 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ángel Rojo
Target entity description: Ángel Rojo is a Spanish former professional footballer known for his career as a forward in La Liga during the 1970s and 1980s.
  • A. Ángel
    Ángel is a given name of Spanish origin commonly used for males and derived from the word for “angel.”
  • B. El Ángel
    El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
  • C. El Rojo
    El Rojo is the famous nickname of Argentine football club Club Atlético Independiente, alluding to its traditional red colors and passionate identity.
  • D. Arcángel
    Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
  • E. El Zagal
    El Zagal was a late 15th-century Nasrid ruler and military leader of Granada who fiercely resisted the Catholic Monarchs during the final phase of the Reconquista.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0d00d46c8190b6289a9b8511a8fb completed May 8, 2026, 4:19 p.m.
NEDg Description generation batch_69fe17e255408190b1155c06854715ea completed May 8, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe1865a1d8819085d62375ab6cccfe completed May 8, 2026, 5:07 p.m.
Created at: April 10, 2026, 1:31 a.m.