Triple
T18390505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronicles (Bob Dylan memoir series) |
E449712
|
entity |
| Predicate | plannedNumberOfVolumes |
P85593
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Chronicles (Bob Dylan memoir series), plannedNumberOfVolumes, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedNumberOfVolumes Context triple: [Chronicles (Bob Dylan memoir series), plannedNumberOfVolumes, 3]
-
A.
numberOfVolumes
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
B.
majorEditionsPlanned
Indicates that significant future versions or releases of an entity (such as a work, product, or publication) are scheduled or intended to be produced.
-
C.
intendedNumberOfBooks
chosen
Indicates the number of books that an agent plans or aims to have, produce, read, or otherwise be associated with, as opposed to the number actually realized.
-
D.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
E.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518422e488190bd06fad72efa1641 |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.