Triple
T22633400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un gars, une fille |
E558613
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Jean "Loulou" |
—
|
NE NERFINISHED |
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: Jean "Loulou" | Statement: [Un gars, une fille, character, Jean "Loulou"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean "Loulou" Context triple: [Un gars, une fille, character, Jean "Loulou"]
-
A.
Loulou
chosen
Loulou is a given name or nickname commonly used in various cultures, often as a diminutive form of names like Louise or Louis.
-
B.
Lilou
Lilou is a renowned French-Algerian b-boy and world champion breakdancer known for his appearances in international dance competitions and films.
-
C.
Michèle
Michèle is a feminine given name of French origin, commonly used in French-speaking countries.
-
D.
Lucille Marcel
Lucille Marcel was a French operatic soprano of the late 19th and early 20th centuries, noted for her performances in major European opera houses.
-
E.
Fifi D'Orsay
Fifi D'Orsay was a French-Canadian actress and singer known for her vivacious "French vamp" persona in Hollywood films of the late 1920s and 1930s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700ab4308190a16b0a1b2a0210fd |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.