Triple

T28039035
Position Surface form Disambiguated ID Type / Status
Subject María Manuela Kirkpatrick E708486 entity
Predicate mother P120 FINISHED
Object María de Grevignée
María de Grevignée was a Spanish noblewoman best known as the mother of María Manuela Kirkpatrick, who became a prominent figure in 19th-century European aristocratic circles.
E1816454 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: María de Grevignée | Statement: [María Manuela Kirkpatrick, mother, María de Grevignée]
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: María de Grevignée
Triple: [María Manuela Kirkpatrick, mother, María de Grevignée]
Generated description
María de Grevignée was a Spanish noblewoman best known as the mother of María Manuela Kirkpatrick, who became a prominent figure in 19th-century European aristocratic circles.

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_69ef9b6cf538819094a633ffa67afec1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f63f2eecf48190bd96cfca248ce595 completed May 2, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1632e1a7508190b0e215e4ac4ecb30 completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a1634256d74819090c95b262c5e6873 completed May 27, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a1635bc8c488190bb284e3caa3c6641 completed May 27, 2026, 12:07 a.m.
Created at: April 27, 2026, 8:23 p.m.