Triple

T4704060
Position Surface form Disambiguated ID Type / Status
Subject Samu E104345 entity
Predicate hasNotableBearer P458 FINISHED
Object Samu García
Samu García is a Spanish professional footballer known for playing as a winger in La Liga.
 E463665 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: Samu García | Statement: [Samu, hasNotableBearer, Samu García]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samu García
Context triple: [Samu, hasNotableBearer, Samu García]
  • A. Samu Castillejo
    Samu Castillejo is a Spanish professional footballer known for playing as a winger for clubs such as Málaga, Villarreal, AC Milan, and Valencia.
  • B. Lorenzo García-Barbón
    Lorenzo García-Barbón is a Spanish architect best known for his role in designing FC Barcelona’s iconic Camp Nou stadium.
  • C. Javier
    Javier is a masculine given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • D. Lucas Zelarayán
    Lucas Zelarayán is an Argentine attacking midfielder known for his playmaking ability and clutch performances in Major League Soccer, particularly during his successful stint with the Columbus Crew.
  • E. Jon Sobrino
    Jon Sobrino is a Spanish-born Jesuit priest and theologian known as a leading proponent of Latin American liberation theology and its focus on the poor and oppressed.
  • 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: Samu García
Triple: [Samu, hasNotableBearer, Samu García]
Generated description
Samu García is a Spanish professional footballer known for playing as a winger in La Liga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samu García
Target entity description: Samu García is a Spanish professional footballer known for playing as a winger in La Liga.
  • A. Samu Castillejo
    Samu Castillejo is a Spanish professional footballer known for playing as a winger for clubs such as Málaga, Villarreal, AC Milan, and Valencia.
  • B. Lorenzo García-Barbón
    Lorenzo García-Barbón is a Spanish architect best known for his role in designing FC Barcelona’s iconic Camp Nou stadium.
  • C. Javier
    Javier is a masculine given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • D. Lucas Zelarayán
    Lucas Zelarayán is an Argentine attacking midfielder known for his playmaking ability and clutch performances in Major League Soccer, particularly during his successful stint with the Columbus Crew.
  • E. Jon Sobrino
    Jon Sobrino is a Spanish-born Jesuit priest and theologian known as a leading proponent of Latin American liberation theology and its focus on the poor and oppressed.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d1e9c48190bad5f7d68bf0f622 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1067c6a081909fa06689ea66a8a4 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be133c5a8c8190b3c0f066c4ab44a9 completed March 21, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69be13cafd1c8190aec0efe6328c25b8 completed March 21, 2026, 3:43 a.m.
Created at: March 20, 2026, 1:17 p.m.