Triple
T11179202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanislas Dehaene |
E264493
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Stanislas
Stanislas is a masculine given name of Slavic origin, notably borne by several European nobles and saints.
|
E909995
|
NE FINISHED |
How this triple was built (4 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: Stanislas | Statement: [Stanislas Dehaene, givenName, Stanislas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanislas Context triple: [Stanislas Dehaene, givenName, Stanislas]
-
A.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
B.
Ludovic
Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
-
C.
Amédée
Amédée is a given name of French usage, corresponding to the Italian name Amedeo and ultimately derived from the Latin Amadeus.
-
D.
Christophe Marie
Christophe Marie was a 17th-century French engineer and entrepreneur best known for designing and overseeing the construction of the Pont Marie bridge in Paris.
-
E.
Jean Louis
Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Stanislas Triple: [Stanislas Dehaene, givenName, Stanislas]
Generated description
Stanislas is a masculine given name of Slavic origin, notably borne by several European nobles and saints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stanislas Target entity description: Stanislas is a masculine given name of Slavic origin, notably borne by several European nobles and saints.
-
A.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
B.
Ludovic
Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
-
C.
Amédée
Amédée is a given name of French usage, corresponding to the Italian name Amedeo and ultimately derived from the Latin Amadeus.
-
D.
Christophe Marie
Christophe Marie was a 17th-century French engineer and entrepreneur best known for designing and overseeing the construction of the Pont Marie bridge in Paris.
-
E.
Jean Louis
Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
- F. None of above. chosen
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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e899c6288190b39e090fa9cdc883 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4839eeaac8190826007ca126ed491 |
completed | April 19, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69e48715bd2081908774d325db2b6dd5 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4886c0da881909105b3a45e786ce9 |
completed | April 19, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:29 p.m.