Triple

T13640309
Position Surface form Disambiguated ID Type / Status
Subject Arellano E325955 entity
Predicate hasNotableBearer P458 FINISHED
Object José Arellano (footballer)
José Arellano is a professional footballer known for his career in Mexican club football.
 E1053574 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: José Arellano (footballer) | Statement: [Arellano, hasNotableBearer, José Arellano (footballer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: José Arellano (footballer)
Context triple: [Arellano, hasNotableBearer, José Arellano (footballer)]
  • A. Roberto Arroyo (footballer)
    Roberto Arroyo is a Spanish professional footballer known for playing as a forward.
  • B. Néstor Arroyo (footballer)
    Néstor Arroyo is a professional footballer known for his career in South American club football.
  • C. Pedro Rollán
    Pedro Rollán is a Spanish politician who serves as the president of the Senate of Spain.
  • D. José Álvaro
    José Álvaro is the birth name of Colombian reggaeton singer and global Latin music star J Balvin.
  • E. Luis Alberto
    Luis Alberto is a Spanish-language given name commonly used across Latin America and Spain, borne by numerous notable figures in fields such as sports, politics, and the arts.
  • 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: José Arellano (footballer)
Triple: [Arellano, hasNotableBearer, José Arellano (footballer)]
Generated description
José Arellano is a professional footballer known for his career in Mexican club football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: José Arellano (footballer)
Target entity description: José Arellano is a professional footballer known for his career in Mexican club football.
  • A. Roberto Arroyo (footballer)
    Roberto Arroyo is a Spanish professional footballer known for playing as a forward.
  • B. Néstor Arroyo (footballer)
    Néstor Arroyo is a professional footballer known for his career in South American club football.
  • C. Pedro Rollán
    Pedro Rollán is a Spanish politician who serves as the president of the Senate of Spain.
  • D. José Álvaro
    José Álvaro is the birth name of Colombian reggaeton singer and global Latin music star J Balvin.
  • E. Luis Alberto
    Luis Alberto is a Spanish-language given name commonly used across Latin America and Spain, borne by numerous notable figures in fields such as sports, politics, and the arts.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5aac7308190a3fd26baeade8f2a completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af46fe481909c6f9a6f58f887d1 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd52b748190ab483ec7634a6549 completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78d277c5c8190970cb3cd0fd32905 completed May 3, 2026, 6 p.m.
Created at: April 9, 2026, 9:51 p.m.