Triple

T25882029
Position Surface form Disambiguated ID Type / Status
Subject Social Christian Unity Party E652073 entity
Predicate hasNotableMember P304 FINISHED
Object Abel Pacheco de la Espriella
Abel Pacheco de la Espriella is a Costa Rican psychiatrist and politician who served as President of Costa Rica from 2002 to 2006.
E1783923 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: Abel Pacheco de la Espriella | Statement: [Social Christian Unity Party, hasNotableMember, Abel Pacheco de la Espriella]
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: Abel Pacheco de la Espriella
Triple: [Social Christian Unity Party, hasNotableMember, Abel Pacheco de la Espriella]
Generated description
Abel Pacheco de la Espriella is a Costa Rican psychiatrist and politician who served as President of Costa Rica from 2002 to 2006.

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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6033f41ec8190972811c69a8236e2 completed May 2, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da5f09e881908ddb0a15b1f06b8c completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12db2833688190af921e97c6e5d05d completed May 24, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a12db977df48190b71bce8408b51269 completed May 24, 2026, 11:05 a.m.
Created at: April 22, 2026, 8:16 a.m.