Triple

T30039313
Position Surface form Disambiguated ID Type / Status
Subject French Third Republic sculpture E763252 entity
Predicate hasNotablePractitioner P26156 FINISHED
Object René de Saint-Marceaux
René de Saint-Marceaux was a prominent French sculptor of the late 19th and early 20th centuries, known for his refined allegorical and commemorative works during the Third Republic.
E2205926 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: René de Saint-Marceaux | Statement: [French Third Republic sculpture, hasNotablePractitioner, René de Saint-Marceaux]
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: René de Saint-Marceaux
Triple: [French Third Republic sculpture, hasNotablePractitioner, René de Saint-Marceaux]
Generated description
René de Saint-Marceaux was a prominent French sculptor of the late 19th and early 20th centuries, known for his refined allegorical and commemorative works during the Third Republic.

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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f679d77bf8819087c1350088890b9f completed May 2, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c0ee33c819099c508556bc96f86 completed June 26, 2026, 7:36 a.m.
NEDg Description generation batch_6a3e2caad72c8190b621cd090825637e completed June 26, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a3e4037818081909a019cf236392de4 completed June 26, 2026, 9:02 a.m.
Created at: April 29, 2026, 6:52 p.m.