Triple
T28431033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March No. 2 in A minor |
E715128
|
entity |
| Predicate | hasSeriesOpus |
P194413
|
FINISHED |
| Object | Op. 39 |
—
|
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: Op. 39 | Statement: [March No. 2 in A minor, hasSeriesOpus, Op. 39]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesOpus Context triple: [March No. 2 in A minor, hasSeriesOpus, Op. 39]
-
A.
hasNumberOfBooksInSeries
Indicates the quantity of books that belong to a particular series.
-
B.
hasSeriesCompanions
Indicates that one entity is accompanied by or associated with other entities as companions within the same series.
-
C.
hasAssociatedTVSeries
Indicates that one entity is linked to another entity that is a related or derived television series.
-
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.
hasFictionalSeries
Indicates that one entity is a fictional series that another entity possesses, is associated with, or is the creator/owner of.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
| PDg | Predicate description generation | batch_69fd6f9a8bd881909983fe8f4cd0ba98 |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 28, 2026, 1:39 a.m.