Triple
T22103669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabelle Allen |
E546231
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object | young Cosette |
—
|
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: young Cosette | Statement: [Isabelle Allen, characterRole, young Cosette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: young Cosette Context triple: [Isabelle Allen, characterRole, young Cosette]
-
A.
Cosette
chosen
Cosette is a central character in Victor Hugo's novel *Les Misérables*, known as the orphaned daughter of Fantine who is rescued and raised by Jean Valjean.
-
B.
Enfance
Enfance is an autobiographical work by French writer Nathalie Sarraute that explores her childhood memories through fragmented, introspective narrative.
-
C.
Enfance
Enfance is a prose poem section within Arthur Rimbaud’s influential collection "Illuminations," noted for its vivid, dreamlike evocation of childhood.
-
D.
Clémentine
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
E.
Margot
Margot is the complex, sharp-tongued protagonist of the film "Margot at the Wedding," portrayed as an emotionally volatile writer navigating fraught family relationships.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.