Triple

T36099442
Position Surface form Disambiguated ID Type / Status
Subject Gonzalo de Borbón y Dampierre E1044159 entity
Predicate maternalGrandfather P979 FINISHED
Object Roger de Dampierre
Roger de Dampierre was a French nobleman associated with the Dampierre family, notable as an ancestor of Spanish aristocrat Gonzalo de Borbón y Dampierre.
E2197451 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: Roger de Dampierre | Statement: [Gonzalo de Borbón y Dampierre, maternalGrandfather, Roger de Dampierre]
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: Roger de Dampierre
Triple: [Gonzalo de Borbón y Dampierre, maternalGrandfather, Roger de Dampierre]
Generated description
Roger de Dampierre was a French nobleman associated with the Dampierre family, notable as an ancestor of Spanish aristocrat Gonzalo de Borbón y Dampierre.

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_69f76e338e2c8190b7f3bc68bec76349 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b28eb9f48190af70ef74de96e306 completed May 3, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3c170e32788190b5c40cff1f3f1bdd completed June 24, 2026, 5:42 p.m.
NEDg Description generation batch_6a3c4a30f0dc8190bf526c5acda79a30 completed June 24, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_6a3c6d4e3cf88190b92c4bd159955bb9 completed June 24, 2026, 11:50 p.m.
Created at: May 3, 2026, 4:08 p.m.