Triple

T37490380
Position Surface form Disambiguated ID Type / Status
Subject Marcelo H. del Pilar E931664 entity
Predicate sibling P363 FINISHED
Object Toribio H. del Pilar
Toribio H. del Pilar was a Filipino lawyer and patriot from Bulacan who, like his more famous brother Marcelo, was involved in the movement for reforms against Spanish colonial rule.
E2283640 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: Toribio H. del Pilar | Statement: [Marcelo H. del Pilar, sibling, Toribio H. del Pilar]
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: Toribio H. del Pilar
Triple: [Marcelo H. del Pilar, sibling, Toribio H. del Pilar]
Generated description
Toribio H. del Pilar was a Filipino lawyer and patriot from Bulacan who, like his more famous brother Marcelo, was involved in the movement for reforms against Spanish colonial rule.

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_69f76ec457a4819094eeb3aed9baac11 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba37b118c81909c7550975a1acbd4 completed May 6, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4266225c9c8190abd2f0f00e8de299 completed June 29, 2026, 12:33 p.m.
NEDg Description generation batch_6a426d9dab5481909ad10958dd569f90 completed June 29, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a426ed254988190b0e38361d84f129d completed June 29, 2026, 1:10 p.m.
Created at: May 3, 2026, 4:17 p.m.