Triple
T12959740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Maison du chat-qui-pelote |
E310107
|
entity |
| Predicate | placeInBalzacCareer |
P19302
|
FINISHED |
| Object | early work |
—
|
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 | Statement: [La Maison du chat-qui-pelote, placeInBalzacCareer, early work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeInBalzacCareer Context triple: [La Maison du chat-qui-pelote, placeInBalzacCareer, early work]
-
A.
placeInCareer
Indicates the specific role, position, or stage an entity occupies within a person’s professional career.
-
B.
cycleWithinLaComédieHumaine
Indicates that a work belongs to a specific internal cycle or sub-series within Balzac’s larger collection *La Comédie Humaine*.
-
C.
placeInBeecherCareer
Indicates the specific role, position, or status an entity holds within the context of Beecher’s career.
-
D.
positionInAuthorOeuvre
chosen
Indicates the relative placement or order of a work within an author's overall body of work.
-
E.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:44 p.m.