Triple
T35357840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minna |
E1021385
|
entity |
| Predicate | appearsInSectionOfLaComedieHumaine |
P795
|
FINISHED |
| Object | Études philosophiques |
—
|
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: Études philosophiques | Statement: [Minna, appearsInSectionOfLaComedieHumaine, Études philosophiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInSectionOfLaComedieHumaine Context triple: [Minna, appearsInSectionOfLaComedieHumaine, Études philosophiques]
-
A.
cycleWithinLaComédieHumaine
Indicates that a work belongs to a specific internal cycle or sub-series within Balzac’s larger collection *La Comédie Humaine*.
-
B.
positionInAuthorOeuvre
Indicates the relative placement or order of a work within an author's overall body of work.
-
C.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
D.
authorOfWorkHeAppearsIn
Indicates that a person is the author of a work in which he himself appears as a character or subject.
-
E.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
- F. None of above.
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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 3, 2026, 4:03 p.m.