Triple

T2146135
Position Surface form Disambiguated ID Type / Status
Subject Valeriano Weyler E47069 entity
Predicate familyName P18 FINISHED
Object Weyler
Weyler is a Spanish surname most notably associated with Valeriano Weyler, a 19th-century Spanish general and colonial administrator.
 E236295 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: Weyler | Statement: [Valeriano Weyler, familyName, Weyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weyler
Context triple: [Valeriano Weyler, familyName, Weyler]
  • A. Banastre
    Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Albuhera
    Albuhera is a village in southwestern Spain that was the site of a major 1811 Peninsular War battle between British-led allied forces and the French.
  • 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: Weyler
Triple: [Valeriano Weyler, familyName, Weyler]
Generated description
Weyler is a Spanish surname most notably associated with Valeriano Weyler, a 19th-century Spanish general and colonial administrator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weyler
Target entity description: Weyler is a Spanish surname most notably associated with Valeriano Weyler, a 19th-century Spanish general and colonial administrator.
  • A. Banastre
    Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Albuhera
    Albuhera is a village in southwestern Spain that was the site of a major 1811 Peninsular War battle between British-led allied forces and the French.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe25d8848190a3ba691668a68e37 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b94d3881909bd619e34e26e6c4 completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae51f5be108190b6f502d62c167ac5 completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae52d46ef48190bbd6b7cc9fcda2a4 completed March 9, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:44 p.m.