Triple

T27037117
Position Surface form Disambiguated ID Type / Status
Subject Jean-Antoine de Baïf E681084 entity
Predicate familyName P18 FINISHED
Object de Baïf
De Baïf is the surname of a notable French Renaissance literary family, most prominently associated with the poet Jean-Antoine de Baïf, a member of the Pléiade.
 E1753125 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: de Baïf | Statement: [Jean-Antoine de Baïf, familyName, de Baïf]
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: de Baïf
Triple: [Jean-Antoine de Baïf, familyName, de Baïf]
Generated description
De Baïf is the surname of a notable French Renaissance literary family, most prominently associated with the poet Jean-Antoine de Baïf, a member of the Pléiade.

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_69eeeb5566f08190813daf896fa3da04 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62268594c8190894decab2d7404b9 completed May 2, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123ac0616c81909b8a26f72a96810f completed May 23, 2026, 11:39 p.m.
NEDg Description generation batch_6a123b3af9fc8190be498c8fc8c3799f completed May 23, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a123c1061ac8190b8becdcf391832f8 completed May 23, 2026, 11:45 p.m.
Created at: April 27, 2026, 7:16 a.m.