Triple

T8832493
Position Surface form Disambiguated ID Type / Status
Subject Miquel Barceló E210178 entity
Predicate familyName P18 FINISHED
Object Barceló
Barceló is a Spanish surname most notably associated with contemporary artist Miquel Barceló.
 E761923 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: Barceló | Statement: [Miquel Barceló, familyName, Barceló]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barceló
Context triple: [Miquel Barceló, familyName, Barceló]
  • A. Cala d'Or
    Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
  • B. Benidorm
    Benidorm is a major Spanish Mediterranean resort city famous for its skyscraper-lined beaches, vibrant nightlife, and mass tourism.
  • C. Lloret de Mar
    Lloret de Mar is a popular Mediterranean coastal resort town on Spain’s Costa Brava, known for its beaches, nightlife, and tourism.
  • D. Far de la Mola
    Far de la Mola is a historic cliff-top lighthouse on the eastern end of Formentera, Spain, known for its dramatic sea views and literary associations with Jules Verne.
  • E. Deià
    Deià is a picturesque coastal village on the Spanish island of Mallorca, famed for its dramatic mountain-and-sea scenery and its long association with artists and writers.
  • 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: Barceló
Triple: [Miquel Barceló, familyName, Barceló]
Generated description
Barceló is a Spanish surname most notably associated with contemporary artist Miquel Barceló.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barceló
Target entity description: Barceló is a Spanish surname most notably associated with contemporary artist Miquel Barceló.
  • A. Cala d'Or
    Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
  • B. Benidorm
    Benidorm is a major Spanish Mediterranean resort city famous for its skyscraper-lined beaches, vibrant nightlife, and mass tourism.
  • C. Lloret de Mar
    Lloret de Mar is a popular Mediterranean coastal resort town on Spain’s Costa Brava, known for its beaches, nightlife, and tourism.
  • D. Far de la Mola
    Far de la Mola is a historic cliff-top lighthouse on the eastern end of Formentera, Spain, known for its dramatic sea views and literary associations with Jules Verne.
  • E. Deià
    Deià is a picturesque coastal village on the Spanish island of Mallorca, famed for its dramatic mountain-and-sea scenery and its long association with artists and writers.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc605005788190a4df1fe317f3056a completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf896cf5a8819098a76288bd505c1e completed April 3, 2026, 9:33 a.m.
NEDg Description generation batch_69cf8adfe8a08190a959f650207a2ca8 completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8bc521dc81908918b48a25f290bb completed April 3, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:47 p.m.