Triple
T4858726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corine |
E108601
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Corinne |
E474749
|
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: Corinne | Statement: [Corine, relatedName, Corinne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corinne Context triple: [Corine, relatedName, Corinne]
-
A.
Corinne
chosen
Corinne is a feminine given name of French origin, often considered a variant of Corine and derived from the Greek name Korinna.
-
B.
Corinne, ou l’Italie
Corinne, ou l’Italie is a 1807 novel by Madame de Staël that blends romance, travel narrative, and political reflection to explore Italian culture, female genius, and the conflict between passion and social convention.
-
C.
Célestine
Célestine is a French feminine given name of Latin origin, derived from "caelestis," meaning "heavenly" or "celestial."
-
D.
Angélique
Angélique is a French feminine given name historically borne by figures such as Angélique Diderot, the daughter of philosopher Denis Diderot.
-
E.
Camille
Camille is a classic 1936 romantic drama film starring Greta Garbo as a tragic Parisian courtesan.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5b2f008190a5fd11d3aec165fb |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6faf39d4819091f76ce321c7e82a |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:26 p.m.