Triple
T13034592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferragus |
E326524
|
entity |
| Predicate | literaryCyclePosition |
P19302
|
FINISHED |
| Object | early work in La Comédie humaine |
—
|
LITERAL 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: early work in La Comédie humaine | Statement: [Ferragus, literaryCyclePosition, early work in La Comédie humaine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryCyclePosition Context triple: [Ferragus, literaryCyclePosition, early work in La Comédie humaine]
-
A.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
B.
cyclePosition
Indicates the relative location or order of something within a repeating or cyclical sequence.
-
C.
positionInLitany
Indicates the specific place or ordering that an item occupies within a litany or enumerated sequence.
-
D.
narrativeCycle
Indicates a recurring or structured sequence of narrative events or themes that repeat or progress in a cyclical pattern within a story or across stories.
-
E.
positionInAuthorOeuvre
chosen
Indicates the relative placement or order of a work within an author's overall body of work.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97effca908190ab89fdb034e02680 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:54 p.m.