Triple
T36054120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BWV 865 |
E1042897
|
entity |
| Predicate | precededByInWTCBookI |
P195292
|
FINISHED |
| Object | Prelude and Fugue in A-flat major, BWV 862 |
—
|
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: Prelude and Fugue in A-flat major, BWV 862 | Statement: [BWV 865, precededByInWTCBookI, Prelude and Fugue in A-flat major, BWV 862]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByInWTCBookI Context triple: [BWV 865, precededByInWTCBookI, Prelude and Fugue in A-flat major, BWV 862]
-
A.
wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
-
B.
precedesInFranchise
Indicates that one installment in a franchise comes before another in the franchise’s canonical or release order.
-
C.
WTCBook
Indicates a relationship where an entity is the author or creator of a written work (such as a book) about the World Trade Center.
-
D.
heldBefore
Indicates that one entity possessed or maintained control of something at an earlier time than another entity or event.
-
E.
precededBy (Mayor of New York City)
Indicates that one mayor of New York City held office before another mayor of New York City in chronological order.
- 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
| PDg | Predicate description generation | batch_69fdb4544b548190b8971f8055d48caa |
completed | May 8, 2026, 10 a.m. |
Created at: May 3, 2026, 4:08 p.m.