Triple
T3330078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nana |
E70011
|
entity |
| Predicate | seriesNumberInLesRougonMacquart |
P20977
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Nana, seriesNumberInLesRougonMacquart, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInLesRougonMacquart Context triple: [Nana, seriesNumberInLesRougonMacquart, 9]
-
A.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
-
B.
designationSeries
Indicates that one designation belongs to or is part of a broader series of related designations.
-
C.
literarySeries
chosen
Indicates that one work is part of, or belongs to, a larger literary series that connects multiple related works.
-
D.
partOfCreativeCommonsReleaseSeries
Indicates that something belongs to or is included within a specific series of releases distributed under a Creative Commons license.
-
E.
catalogueRaisonneNumber
Indicates the identifier assigned to a work in a catalogue raisonné, linking it to its authoritative scholarly listing.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.