Triple

T25391145
Position Surface form Disambiguated ID Type / Status
Subject Louis Alphonse de Bourbon E636168 entity
Predicate spouse P13 FINISHED
Object María Margarita Vargas Santaella
María Margarita Vargas Santaella is a Venezuelan-born aristocrat best known as the wife of Louis Alphonse de Bourbon, a claimant to the French throne.
E1723485 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 Margarita Vargas Santaella | Statement: [Louis Alphonse de Bourbon, spouse, María Margarita Vargas Santaella]
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 Margarita Vargas Santaella
Triple: [Louis Alphonse de Bourbon, spouse, María Margarita Vargas Santaella]
Generated description
María Margarita Vargas Santaella is a Venezuelan-born aristocrat best known as the wife of Louis Alphonse de Bourbon, a claimant to the French throne.

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_69e75db263888190b77fff9e2827b9a2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5657015648190bee3b56dceac3b10 completed May 2, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae897e64819091f6813221e77860 completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af2076908190b275c87caa60bb7c completed May 23, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a11afbb49c48190a2640fa6e8186fd8 completed May 23, 2026, 1:46 p.m.
Created at: April 21, 2026, 1:49 p.m.