Triple
T26464762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wishing-Chair universe |
E665730
|
entity |
| Predicate | hasContinuations |
P61223
|
FINISHED |
| Object | short story collections |
—
|
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: short story collections | Statement: [The Wishing-Chair universe, hasContinuations, short story collections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContinuations Context triple: [The Wishing-Chair universe, hasContinuations, short story collections]
-
A.
hasContinuation
chosen
Indicates that one entity serves as a continuation or subsequent part of another entity in a sequence or process.
-
B.
hasUnfinishedContinuation
Indicates that something currently has a continuation, sequel, or follow-up portion that exists or is planned but is not yet completed.
-
C.
continuesFor
Indicates that an event, state, or process persists or remains in effect for a specified duration or period.
-
D.
hasContinuo
Indicates that a musical work, section, or passage includes a basso continuo part or accompaniment.
-
E.
hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 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. |
Created at: April 27, 2026, 12:15 a.m.