Triple
T38004547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonore overtures |
E948194
|
entity |
| Predicate | workSeriesType |
P193036
|
FINISHED |
| Object | multiple versions of an overture for the same opera |
—
|
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: multiple versions of an overture for the same opera | Statement: [Leonore overtures, workSeriesType, multiple versions of an overture for the same opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSeriesType Context triple: [Leonore overtures, workSeriesType, multiple versions of an overture for the same opera]
-
A.
workSeriesConcept
Indicates that a work is part of, or related to, a broader series concept that groups multiple works together.
-
B.
workSeriesTitle
Indicates that a work is part of, or associated with, a particular series title.
-
C.
hasWorkSeries
Indicates that one work belongs to, or is part of, a larger series of related works.
-
D.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
E.
basedOnWorkSeries
Indicates that one entity is derived from, adapted from, or otherwise created using a particular series of works as its source or foundation.
- F. None of above. chosen
Provenance (4 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: May 3, 2026, 4:20 p.m.