Triple

T20972391
Position Surface form Disambiguated ID Type / Status
Subject Louise Araneta-Marcos E516534 entity
Predicate familyName P18 FINISHED
Object Araneta
Araneta is a prominent Filipino family name associated with influential political and business figures in the Philippines.
E1460905 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: Araneta | Statement: [Louise Araneta-Marcos, familyName, Araneta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Araneta
Context triple: [Louise Araneta-Marcos, familyName, Araneta]
  • A. Gorospe
    Gorospe is a Basque surname most notably associated with Spanish former professional cyclist Julián Gorospe.
  • B. Atimonan, Quezon
    Atimonan, Quezon is a coastal municipality in the Philippines known for its fishing industry, scenic views along Lamon Bay, and access to the Quezon Protected Landscape.
  • C. Mabini
    Mabini is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
  • D. Mabini
    Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
  • E. Pimentel
    Pimentel is a small municipality in the Sardinian region of Italy, located within the jurisdiction of the Metropolitan City of Cagliari.
  • 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: Araneta
Triple: [Louise Araneta-Marcos, familyName, Araneta]
Generated description
Araneta is a prominent Filipino family name associated with influential political and business figures in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Araneta
Target entity description: Araneta is a prominent Filipino family name associated with influential political and business figures in the Philippines.
  • A. Gorospe
    Gorospe is a Basque surname most notably associated with Spanish former professional cyclist Julián Gorospe.
  • B. Atimonan, Quezon
    Atimonan, Quezon is a coastal municipality in the Philippines known for its fishing industry, scenic views along Lamon Bay, and access to the Quezon Protected Landscape.
  • C. Mabini
    Mabini is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
  • D. Mabini
    Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
  • E. Pimentel
    Pimentel is a small municipality in the Sardinian region of Italy, located within the jurisdiction of the Metropolitan City of Cagliari.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba161d88190b8905891f449004e completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fb7f22c81908bef806db262730a completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a0930b6d344819099415b7ca3c4882b completed May 17, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a09318d74b88190817113e2df40e3f0 completed May 17, 2026, 3:10 a.m.
Created at: April 16, 2026, 1:44 p.m.