Triple

T30836934
Position Surface form Disambiguated ID Type / Status
Subject Bourbon-Parma family E785388 entity
Predicate hasMember P10 FINISHED
Object Enrichetta of Bourbon-Parma
Enrichetta of Bourbon-Parma was a princess of the Bourbon-Parma branch of the Spanish royal House of Bourbon, known primarily as a member of this European dynastic family.
E1957361 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: Enrichetta of Bourbon-Parma | Statement: [Bourbon-Parma family, hasMember, Enrichetta of Bourbon-Parma]
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: Enrichetta of Bourbon-Parma
Triple: [Bourbon-Parma family, hasMember, Enrichetta of Bourbon-Parma]
Generated description
Enrichetta of Bourbon-Parma was a princess of the Bourbon-Parma branch of the Spanish royal House of Bourbon, known primarily as a member of this European dynastic family.

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_69f224b73d8c81908129383bfb397c87 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6913f9c4c8190b5984101070d067c completed May 3, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e0b73d88190a6e80588bb4ba543 completed June 11, 2026, 2:31 a.m.
NEDg Description generation batch_6a2a696e45e08190bb2d36347eea29e3 completed June 11, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_6a2a69bf69a08190b11bd43ebf767b86 completed June 11, 2026, 7:54 a.m.
Created at: April 29, 2026, 8:45 p.m.