Triple

T22717095
Position Surface form Disambiguated ID Type / Status
Subject Huracán E561762 entity
Predicate nickname P55 FINISHED
Object El Globo
El Globo is the popular nickname of Club Atlético Huracán, a historic Argentine football club based in Buenos Aires.
E1550544 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: El Globo | Statement: [Huracán, nickname, El Globo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Globo
Context triple: [Huracán, nickname, El Globo]
  • A. La Bola del Mundo
    La Bola del Mundo is a prominent mountain peak in Spain’s Sierra de Guadarrama, known for its high-altitude viewpoints and distinctive television and radio antennas.
  • B. La Papelotte
    La Papelotte is a farmhouse and former strongpoint on the Waterloo battlefield in Belgium, notable for its role in the 1815 Battle of Waterloo.
  • C. El Jícaro
    El Jícaro is a town and municipality in northern Nicaragua, known as one of the principal urban centers of the Nueva Segovia Department.
  • D. Die Welt
    Die Welt is a major German national daily newspaper known for its coverage of politics, business, and international affairs.
  • E. The Balloon Man
    The Balloon Man is a novel by British author Charlotte Armstrong, known as a suspenseful mystery centered on family secrets and psychological tension.
  • 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: El Globo
Triple: [Huracán, nickname, El Globo]
Generated description
El Globo is the popular nickname of Club Atlético Huracán, a historic Argentine football club based in Buenos Aires.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: El Globo
Target entity description: El Globo is the popular nickname of Club Atlético Huracán, a historic Argentine football club based in Buenos Aires.
  • A. La Bola del Mundo
    La Bola del Mundo is a prominent mountain peak in Spain’s Sierra de Guadarrama, known for its high-altitude viewpoints and distinctive television and radio antennas.
  • B. La Papelotte
    La Papelotte is a farmhouse and former strongpoint on the Waterloo battlefield in Belgium, notable for its role in the 1815 Battle of Waterloo.
  • C. El Jícaro
    El Jícaro is a town and municipality in northern Nicaragua, known as one of the principal urban centers of the Nueva Segovia Department.
  • D. Die Welt
    Die Welt is a major German national daily newspaper known for its coverage of politics, business, and international affairs.
  • E. The Balloon Man
    The Balloon Man is a novel by British author Charlotte Armstrong, known as a suspenseful mystery centered on family secrets and psychological tension.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790e14c88190af6acb27910ae9c1 completed April 29, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7edf9c988190ba19b094f3232c87 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b8076dd848190b7ee7c745ddee3c5 completed May 18, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0b819ebe90819088593ffcd70251b1 completed May 18, 2026, 9:16 p.m.
Created at: April 17, 2026, 3:19 p.m.