Triple

T16972080
Position Surface form Disambiguated ID Type / Status
Subject Carmen Osmeña E411710 entity
Predicate familyName P18 FINISHED
Object Osmeña E1197494 NE FINISHED

How this triple was built (2 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: Osmeña | Statement: [Carmen Osmeña, familyName, Osmeña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osmeña
Context triple: [Carmen Osmeña, familyName, Osmeña]
  • A. Osmeña chosen
    Osmeña is a prominent Filipino political family name associated with several influential leaders, including former presidents and senators of the Philippines.
  • B. Carmen Osmeña
    Carmen Osmeña was a daughter of former Philippine President Sergio Osmeña and a member of the prominent Osmeña political family.
  • C. Cojuangco
    Cojuangco is a prominent and influential Filipino political and business clan, historically associated with landownership and national politics in the Philippines.
  • D. Imee Marcos
    Imee Marcos is a Filipino politician and daughter of former President Ferdinand Marcos, known for serving as a senator and previously as governor of Ilocos Norte.
  • E. Ate-Vitarte
    Ate-Vitarte is a district in the eastern part of Lima, Peru, known for its rapid urban growth and mixed residential and industrial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ad04ac81909a11b45be567613a completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d471d4248190acf40b6c11926a65 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.