Triple
T2854620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splendeurs et misères des courtisanes |
E63170
|
entity |
| Predicate | workInSeriesOrder |
P23880
|
FINISHED |
| Object | follows Illusions perdues in Lucien de Rubempré’s story arc |
—
|
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: follows Illusions perdues in Lucien de Rubempré’s story arc | Statement: [Splendeurs et misères des courtisanes, workInSeriesOrder, follows Illusions perdues in Lucien de Rubempré’s story arc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workInSeriesOrder Context triple: [Splendeurs et misères des courtisanes, workInSeriesOrder, follows Illusions perdues in Lucien de Rubempré’s story arc]
-
A.
chronologicalOrderInSeries
chosen
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
B.
firstWorkInSeries
Indicates that a work is the initial installment or opening entry in a series or sequence of related works.
-
C.
hasWorkInSameSeries
Indicates that two works belong to and are part of the same series.
-
D.
notableWorkSeries
Indicates that a work is part of a series for which the subject is notably known or recognized.
-
E.
partOfCreativeCommonsReleaseSeries
Indicates that something belongs to or is included within a specific series of releases distributed under a Creative Commons license.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf60852c8190b66c8719c63a723e |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.