Triple
T28525599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March No. 4 in G major |
E721894
|
entity |
| Predicate | isRelatedWorkSeries |
P20978
|
FINISHED |
| Object | Pomp and Circumstance March No. 1 in D major |
—
|
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: Pomp and Circumstance March No. 1 in D major | Statement: [March No. 4 in G major, isRelatedWorkSeries, Pomp and Circumstance March No. 1 in D major]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRelatedWorkSeries Context triple: [March No. 4 in G major, isRelatedWorkSeries, Pomp and Circumstance March No. 1 in D major]
-
A.
relatedWorkSeriesAuthor
Indicates that an author is associated with a work that is part of the same series or a related series as another work.
-
B.
hasWorkInSameSeries
chosen
Indicates that two works belong to and are part of the same series.
-
C.
hasRelationToOtherWork
Indicates that one work bears a specified relationship (such as adaptation, sequel, reference, or influence) to another distinct work.
-
D.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
E.
worksInSeriesWith
Indicates that one entity collaborates or participates together with another entity within the same series or serialized work.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 3:24 a.m.