Triple

T34031898
Position Surface form Disambiguated ID Type / Status
Subject Prince of Condé E872677 entity
Predicate notableHolder P1918 FINISHED
Object Louis Henri, Prince of Condé
Louis Henri, Prince of Condé was an 18th-century French nobleman and head of the Condé branch of the Bourbon dynasty, influential at the court of Louis XV.
E2128516 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: Louis Henri, Prince of Condé | Statement: [Prince of Condé, notableHolder, Louis Henri, Prince of Condé]
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: Louis Henri, Prince of Condé
Triple: [Prince of Condé, notableHolder, Louis Henri, Prince of Condé]
Generated description
Louis Henri, Prince of Condé was an 18th-century French nobleman and head of the Condé branch of the Bourbon dynasty, influential at the court of Louis XV.

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_69f349a2527c81909a7cd4bda94d70ad completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70b2197488190bd1c7bcee940b19a completed May 3, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37faf3a5f08190886482bd865fb1f3 completed June 21, 2026, 2:53 p.m.
NEDg Description generation batch_6a37fb3d46848190b903fdf9b0fd446b completed June 21, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_6a37fbc5b384819082e85c6d9de3d3fc completed June 21, 2026, 2:57 p.m.
Created at: May 1, 2026, 1:51 a.m.