Triple

T17736890
Position Surface form Disambiguated ID Type / Status
Subject Pilar Arcos E442742 entity
Predicate givenName P17 FINISHED
Object Pilar
Pilar is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
E580454 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: Pilar | Statement: [Pilar Arcos, givenName, Pilar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilar
Context triple: [Pilar Arcos, givenName, Pilar]
  • A. Pilar
    Pilar is the introspective female protagonist of Paulo Coelho’s novel "By the River Piedra I Sat Down and Wept," whose spiritual and emotional journey drives the story.
  • B. Pilar
    Pilar is a coastal town on Siargao Island in the Philippines, known for its fishing communities and access to popular surfing and eco-tourism spots.
  • C. Pilar
    Pilar is a municipality in the Philippine province of Abra, known for its rural highland landscapes and predominantly agricultural economy.
  • D. Pilar
    Pilar is a city in the Buenos Aires Province of Argentina, known as a growing residential and commercial hub within the Greater Buenos Aires metropolitan area.
  • E. Pilar
    Pilar is a Spanish royal, known formally as Infanta Pilar, Duchess of Badajoz, and a member of the House of Bourbon.
  • 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: Pilar
Triple: [Pilar Arcos, givenName, Pilar]
Generated description
Pilar is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pilar
Target entity description: Pilar is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
  • A. Pilar chosen
    Pilar is a Spanish feminine given name, often associated with religious devotion to Our Lady of the Pillar and traditionally used in Spain and Spanish-speaking countries.
  • B. Pilar
    Pilar is a Spanish royal, known formally as Infanta Pilar, Duchess of Badajoz, and a member of the House of Bourbon.
  • C. Pilar
    Pilar is a city in the Buenos Aires Province of Argentina, known as a growing residential and commercial hub within the Greater Buenos Aires metropolitan area.
  • D. Pilar
    Pilar is a riverside city in southwestern Paraguay known for its colonial architecture, river port activities, and proximity to the border with Argentina.
  • E. Pilar
    Pilar is a strong-willed, perceptive Spanish guerrilla fighter who plays a central role in Ernest Hemingway’s novel "For Whom the Bell Tolls."
  • F. None of above.

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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478ec48988190a503f9aafeab6d23 completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242f965148190a7b76796546ab920 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02455730948190b1151d24f260d768 completed May 11, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0245c34d008190ae029000dc8e9cbc completed May 11, 2026, 9:10 p.m.
Created at: April 10, 2026, 10:08 a.m.