Triple
T15246268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nana Coupeau |
E364389
|
entity |
| Predicate | hasLover |
P9994
|
FINISHED |
| Object | Fontan |
E347890
|
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: Fontan | Statement: [Nana Coupeau, hasLover, Fontan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontan Context triple: [Nana Coupeau, hasLover, Fontan]
-
A.
Fontan
chosen
Fontan is a fictional character named Nana Fontan, likely appearing in a narrative work such as a novel, film, or television series.
-
B.
Fassel
Fassel is a surname most notably associated with Jim Fassel, a former head coach of the New York Giants in the National Football League.
-
C.
Forlane
Forlane is a graceful, dance-inspired movement from Maurice Ravel’s suite *Le Tombeau de Couperin*, known for its lilting rhythm and neoclassical elegance.
-
D.
Takic
Takic is a branch of the Uto-Aztecan language family comprising several closely related Indigenous languages historically spoken in Southern California.
-
E.
Geiselwind
Geiselwind is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural setting and proximity to major transport routes like the A3 motorway.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd491cd881908bad9660af9b6b8f |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.