Triple

T22743267
Position Surface form Disambiguated ID Type / Status
Subject Lluís Companys E562474 entity
Predicate givenName P17 FINISHED
Object Lluís
Lluís is a Catalan given name commonly used in Catalonia and other Catalan-speaking regions, equivalent to the Spanish name Luis.
 E1552051 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: Lluís | Statement: [Lluís Companys, givenName, Lluís]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lluís
Context triple: [Lluís Companys, givenName, Lluís]
  • A. Lluís Dilmé
    Lluís Dilmé is a Spanish architect best known for leading the post-fire reconstruction and restoration of Barcelona’s historic Gran Teatre del Liceu opera house.
  • B. Jaume
    Jaume is a masculine given name of Catalan origin, equivalent to James in English.
  • C. Josep
    Josep "Pep" Guardiola is a highly successful Spanish football manager and former player, renowned for his innovative tactics and trophy-laden spells at clubs like FC Barcelona, Bayern Munich, and Manchester City.
  • D. Josep
    Josep is a masculine given name of Catalan origin, equivalent to Joseph in English.
  • E. Raimón
    Raimón is a given name, commonly used in Spanish- and Catalan-speaking regions, that serves as a variant of the name Ramón.
  • 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: Lluís
Triple: [Lluís Companys, givenName, Lluís]
Generated description
Lluís is a Catalan given name commonly used in Catalonia and other Catalan-speaking regions, equivalent to the Spanish name Luis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lluís
Target entity description: Lluís is a Catalan given name commonly used in Catalonia and other Catalan-speaking regions, equivalent to the Spanish name Luis.
  • A. Lluís Dilmé
    Lluís Dilmé is a Spanish architect best known for leading the post-fire reconstruction and restoration of Barcelona’s historic Gran Teatre del Liceu opera house.
  • B. Jaume
    Jaume is a masculine given name of Catalan origin, equivalent to James in English.
  • C. Josep
    Josep is a masculine given name of Catalan origin, equivalent to Joseph in English.
  • D. Josep
    Josep "Pep" Guardiola is a highly successful Spanish football manager and former player, renowned for his innovative tactics and trophy-laden spells at clubs like FC Barcelona, Bayern Munich, and Manchester City.
  • E. Raimón
    Raimón is a given name, commonly used in Spanish- and Catalan-speaking regions, that serves as a variant of the name Ramón.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17974c3208190ae1d6b05639cc942 completed April 29, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd2538881909f55dbef8f523a8d completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b9112e9788190bfb91f800671540c completed May 18, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b917426e48190a7167f5e323b1015 completed May 18, 2026, 10:23 p.m.
Created at: April 17, 2026, 3:23 p.m.