Triple
T17303769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jena Romantic circle |
E420101
|
entity |
| Predicate | notableWorkContext |
P29300
|
FINISHED |
| Object | Lucinde |
E503330
|
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: Lucinde | Statement: [Jena Romantic circle, notableWorkContext, Lucinde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucinde Context triple: [Jena Romantic circle, notableWorkContext, Lucinde]
-
A.
Lucinde
chosen
Lucinde is an early Romantic novel by Friedrich Schlegel that blends autobiographical elements with philosophical reflections on love, art, and individuality.
-
B.
Turnesa
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
-
C.
Dorraine
Dorraine is an alternate given name of Vivian Liberto, best known as the first wife of country music legend Johnny Cash.
-
D.
Desariee
Desariee is the given first name of American actress Scout Taylor-Compton, known for her roles in horror films such as the "Halloween" remakes.
-
E.
Lornay
Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fc732481909065afddc5c687d4 |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180de8340819081eae1104d705de0 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:41 a.m.