Triple

T35104785
Position Surface form Disambiguated ID Type / Status
Subject Émilie de Fontaine E1013120 entity
Predicate familyName P18 FINISHED
Object de Fontaine
de Fontaine is a French surname historically associated with noble or aristocratic families.
 E2125141 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 Fontaine | Statement: [Émilie de Fontaine, familyName, de Fontaine]
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 Fontaine
Triple: [Émilie de Fontaine, familyName, de Fontaine]
Generated description
de Fontaine is a French surname historically associated with noble or aristocratic families.

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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c0b95448190b35fe105e6dd8eab completed May 3, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cff8e25c8190bd1bc4a930842eed completed June 21, 2026, 11:50 a.m.
NEDg Description generation batch_6a37d07c4f1c8190ad35b7c2933ed281 completed June 21, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a37d14269d8819096db1bd0f62ed272 completed June 21, 2026, 11:55 a.m.
Created at: May 3, 2026, 4:01 p.m.