Triple

T442723
Position Surface form Disambiguated ID Type / Status
Subject Carles Gil E10148 entity
Predicate hasSibling P363 FINISHED
Object Nacho Gil
Nacho Gil is a Spanish professional footballer known for playing as an attacking midfielder or winger in Spain's football leagues.
 E56512 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: Nacho Gil | Statement: [Carles Gil, hasSibling, Nacho Gil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nacho Gil
Context triple: [Carles Gil, hasSibling, Nacho Gil]
  • A. Ramón García
    Ramón García is an architect known for his work on the design of Puerto Rico’s Capitol building in San Juan.
  • B. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • C. José Gómez
    José Gómez was a figure significant enough in Chilean or maritime history that the remote Pacific island Salas y Gómez was named in his honor.
  • D. Ramón Carnicer
    Ramón Carnicer was a 19th-century Spanish composer best known for writing the music of the Chilean national anthem.
  • E. Tomas Arana
    Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
  • 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: Nacho Gil
Triple: [Carles Gil, hasSibling, Nacho Gil]
Generated description
Nacho Gil is a Spanish professional footballer known for playing as an attacking midfielder or winger in Spain's football leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nacho Gil
Target entity description: Nacho Gil is a Spanish professional footballer known for playing as an attacking midfielder or winger in Spain's football leagues.
  • A. Ramón García
    Ramón García is an architect known for his work on the design of Puerto Rico’s Capitol building in San Juan.
  • B. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • C. José Gómez
    José Gómez was a figure significant enough in Chilean or maritime history that the remote Pacific island Salas y Gómez was named in his honor.
  • D. Ramón Carnicer
    Ramón Carnicer was a 19th-century Spanish composer best known for writing the music of the Chilean national anthem.
  • E. Tomas Arana
    Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef42b4008190abed9d79926c7022 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447fc06288190b74c4047849f615c completed March 1, 2026, 2:06 p.m.
NEDg Description generation batch_69a448814bb48190821c12fad63cc904 completed March 1, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69a448e45d248190a50fee4e2aefcaf5 completed March 1, 2026, 2:10 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.