Triple

T23666474
Position Surface form Disambiguated ID Type / Status
Subject Pacheco E584590 entity
Predicate hasNotableBearer P458 FINISHED
Object Juan de Pacheco
Juan de Pacheco was a powerful 15th-century Castilian nobleman and royal favorite who served as Marquis of Villena and played a major role in the politics of King Henry IV of Castile’s reign.
E1611566 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: Juan de Pacheco | Statement: [Pacheco, hasNotableBearer, Juan de Pacheco]
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: Juan de Pacheco
Triple: [Pacheco, hasNotableBearer, Juan de Pacheco]
Generated description
Juan de Pacheco was a powerful 15th-century Castilian nobleman and royal favorite who served as Marquis of Villena and played a major role in the politics of King Henry IV of Castile’s reign.

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_69e24901421881908c17a5293bdd4a8e completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b40b8bd48190922c7252e71a5421 completed April 29, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e4baae08190bd8dc84d9220be24 completed May 21, 2026, 9:51 p.m.
NEDg Description generation batch_6a0f7f4ce09081908de47029b8ffc097 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7fe13a2481908644e45e96abacce completed May 21, 2026, 9:57 p.m.
Created at: April 17, 2026, 6:50 p.m.