Triple
T19565259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Stanislas Xavier |
E489565
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stanislas |
—
|
NE NERFINISHED |
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: Stanislas | Statement: [Louis Stanislas Xavier, givenName, Stanislas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanislas Context triple: [Louis Stanislas Xavier, givenName, Stanislas]
-
A.
Stanislas
chosen
Stanislas is a masculine given name of Slavic origin, notably borne by several European nobles and saints.
-
B.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
C.
Ludovic
Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
-
D.
Pierre-Louis
Pierre-Louis is a French given name commonly used as a compound first name in Francophone countries.
-
E.
Amédée
Amédée is a given name of French usage, corresponding to the Italian name Amedeo and ultimately derived from the Latin Amadeus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f76b220819096e668534c6bac67 |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.