Triple
T35094652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Claës |
E1012833
|
entity |
| Predicate | belongsToWorkCycle |
P78753
|
FINISHED |
| Object | La Comédie humaine |
—
|
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: La Comédie humaine | Statement: [Madame Claës, belongsToWorkCycle, La Comédie humaine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToWorkCycle Context triple: [Madame Claës, belongsToWorkCycle, La Comédie humaine]
-
A.
workBelongsToCycle
chosen
Indicates that a specific work is associated with, and forms part of, a larger cycle or series.
-
B.
belongsToCycle
Indicates that an entity is part of, or contained within, a specific cycle or cyclic structure.
-
C.
belongsToWorkBy
Indicates that something is part of, or associated with, a work that was created by a specific agent or creator.
-
D.
hasWorkNumberInCycle
Indicates that an entity is assigned a specific work number or identifier within a particular cycle or iteration.
-
E.
associatedWithInWork
Indicates that two entities are connected or related to each other within the context of a particular work or project.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7bc112088190851501fb2a16103d |
completed | May 9, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69ff7b45507c81909753866ad733601a |
completed | May 9, 2026, 6:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.