Triple

T31211224
Position Surface form Disambiguated ID Type / Status
Subject Paul Bert E795746 entity
Predicate awardReceived P11 FINISHED
Object Montyon Prize
The Montyon Prize is a French award established by Baron de Montyon and administered by the Académie Française to honor works or actions that contribute to the betterment of humanity.
 E1951042 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: Montyon Prize | Statement: [Paul Bert, awardReceived, Montyon Prize]
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: Montyon Prize
Triple: [Paul Bert, awardReceived, Montyon Prize]
Generated description
The Montyon Prize is a French award established by Baron de Montyon and administered by the Académie Française to honor works or actions that contribute to the betterment of humanity.

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_69f224d9d52c8190a61f68ded37fa755 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69c27f0bc8190b2da3a8b9791271a completed May 3, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a295926d41c81908c94c19ce51bdb34 completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a2959bdca2c8190b2e0279cdded44de completed June 10, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a295a997b7c8190a1611ae551444ea4 completed June 10, 2026, 12:37 p.m.
Created at: April 29, 2026, 9:09 p.m.