Triple

T38424959
Position Surface form Disambiguated ID Type / Status
Subject Presidency of Joseph Estrada E903330 entity
Predicate notableCabinetMember P23003 FINISHED
Object Ronaldo Zamora
Ronaldo Zamora is a Filipino lawyer and politician who served as Executive Secretary and a key political figure during the administration of President Joseph Estrada.
E2289898 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: Ronaldo Zamora | Statement: [Presidency of Joseph Estrada, notableCabinetMember, Ronaldo Zamora]
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: Ronaldo Zamora
Triple: [Presidency of Joseph Estrada, notableCabinetMember, Ronaldo Zamora]
Generated description
Ronaldo Zamora is a Filipino lawyer and politician who served as Executive Secretary and a key political figure during the administration of President Joseph Estrada.

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_69f76e67e4fc8190a7d08dfe9a8af998 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd8cf8288190aa130d0a23c74ef1 completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b783737188190a90f7767a3675664 completed July 18, 2026, 12:57 p.m.
NEDg Description generation batch_6a5b795e40cc8190b0047141ee579b8a completed July 18, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_6a5b7a3bb2b0819089a5835cff8ad7b3 completed July 18, 2026, 1:06 p.m.
Created at: May 3, 2026, 4:31 p.m.