Triple
T15246270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nana Coupeau |
E364389
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Louiset |
E347893
|
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: Louiset | Statement: [Nana Coupeau, hasChild, Louiset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louiset Context triple: [Nana Coupeau, hasChild, Louiset]
-
A.
Louiset
chosen
Louiset is a fictional character associated with Nana, likely appearing in works or adaptations related to that name.
-
B.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
C.
Louison
Louison is the naive, good-hearted handyman protagonist in the darkly comic French film "Delicatessen."
-
D.
Rousselot
Rousselot is a French surname borne by various notable figures, including acclaimed cinematographer Philippe Rousselot.
-
E.
Lefebvre-Desnouettes
Lefebvre-Desnouettes is a French surname most notably borne by General Charles Lefebvre-Desnouettes, a prominent cavalry commander during the Napoleonic Wars.
- 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.