Triple

T24925191
Position Surface form Disambiguated ID Type / Status
Subject Boni de Castellane E618833 entity
Predicate nobleTitle P914 FINISHED
Object Count de Castellane
Count de Castellane is a French noble title historically associated with the prominent Castellane family, notably held by the dandy and politician Boni de Castellane during the Belle Époque.
E1710321 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: Count de Castellane | Statement: [Boni de Castellane, nobleTitle, Count de Castellane]
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: Count de Castellane
Triple: [Boni de Castellane, nobleTitle, Count de Castellane]
Generated description
Count de Castellane is a French noble title historically associated with the prominent Castellane family, notably held by the dandy and politician Boni de Castellane during the Belle Époque.

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_69e2fab9edd88190b86004a78a28bc20 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423afd1ec8190a7660bc5174f49db completed May 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1127185bb4819088a46534740ed77f completed May 23, 2026, 4:03 a.m.
NEDg Description generation batch_6a1134849eac8190a0f80898df1ae20c completed May 23, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_6a11350decb88190b61a8491db612650 completed May 23, 2026, 5:03 a.m.
Created at: April 18, 2026, 5:29 a.m.