Triple
T15371145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Louise Élisabeth Labouret |
E367549
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Labouret |
E367549
|
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: Labouret | Statement: [Marie-Louise Élisabeth Labouret, familyName, Labouret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labouret Context triple: [Marie-Louise Élisabeth Labouret, familyName, Labouret]
-
A.
Labouret
chosen
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
B.
Roublot
Roublot is a rare French white wine grape variety, historically cultivated in limited regions and valued mainly for blending.
-
C.
Malot
Malot is a French surname most notably borne by Hector Malot, the 19th-century novelist best known for his work "Sans Famille" ("Nobody's Boy").
-
D.
Brossolette
Brossolette is a French surname most notably associated with Pierre Brossolette, a prominent figure in the French Resistance during World War II.
-
E.
Labbé
Labbé is a French-origin surname borne by various notable individuals, including Canadian Olympic soccer goalkeeper Stephanie Labbé.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b528f408190b66d3d6e10e90a43 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.