Triple
T1580017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonore |
E33739
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Léonore |
E33739
|
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: Léonore | Statement: [Leonore, hasVariantSpelling, Léonore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léonore Context triple: [Leonore, hasVariantSpelling, Léonore]
-
A.
Leonore
chosen
Leonore is a given name, typically considered a variant of Eleanor, used for girls in various European languages.
-
B.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
C.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
Gretchen
Gretchen is a feminine given name, traditionally used in German-speaking regions and often recognized as a diminutive form of Margaret.
-
E.
Gretchen
Gretchen is the given name of Gretchen C. Daily, an influential American ecologist and environmental scientist known for her work on biodiversity conservation and ecosystem services.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908d78fe48190b155f85deca59639 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4030dd408190af5423ca2a3507b7 |
completed | March 8, 2026, 9:24 a.m. |
Created at: March 4, 2026, 7:27 p.m.