Triple
T23172102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Chat |
E578886
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Le Chat |
—
|
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: Le Chat | Statement: [Le Chat, title, Le Chat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Chat Context triple: [Le Chat, title, Le Chat]
-
A.
Le Chat
chosen
Le Chat is a poem by Charles Baudelaire, likely featuring his muse Jeanne Duval, that explores sensuality and mystery through the figure of a cat.
-
B.
Déruchette
Déruchette is a central female character in Victor Hugo's novel "Les Travailleurs de la mer," known as the young woman whose love and fate profoundly shape the protagonist Gilliatt's tragic devotion.
-
C.
Les Chartreux
Les Chartreux is a neighborhood in Marseille, France, known for its residential character and proximity to the city center.
-
D.
Choupette
Choupette is the famously pampered Birman cat of late fashion designer Karl Lagerfeld, known for her luxurious lifestyle and media celebrity status.
-
E.
Chouchou
Chouchou was the affectionate nickname of Claude Debussy’s young daughter, to whom he dedicated his piano suite "Children’s Corner."
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f30ce148190a6de928c8213399e |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:04 p.m.