Triple
T18902084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bio of a Space Tyrant |
E462360
|
entity |
| Predicate | volumeCountInContinuity |
P2734
|
FINISHED |
| Object | six-book biography of Hope Hubris |
—
|
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: six-book biography of Hope Hubris | Statement: [Bio of a Space Tyrant, volumeCountInContinuity, six-book biography of Hope Hubris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeCountInContinuity Context triple: [Bio of a Space Tyrant, volumeCountInContinuity, six-book biography of Hope Hubris]
-
A.
numberOfVolumes
chosen
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
B.
collectionVolume
Indicates the total physical or spatial amount occupied by a collection, such as its size, capacity, or volume.
-
C.
vaultTrackCount
Indicates the number of tracks associated with or stored in a particular vault.
-
D.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
E.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.