Triple
T13569451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spellmonger |
E324118
|
entity |
| Predicate | hasSeriesContinuity |
P1961
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Spellmonger, hasSeriesContinuity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesContinuity Context triple: [Spellmonger, hasSeriesContinuity, yes]
-
A.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
B.
hasSequel
chosen
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
C.
formerSeries
Indicates that one entity was previously a series associated with another entity, but no longer holds that status.
-
D.
cultContinuity
Indicates the continuation or persistence of a religious cult’s practices, beliefs, or traditions over time.
-
E.
hasSequelNumber
Indicates that an entity is followed by another work in a series identified by a specific sequential number.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00f5b8881908617f42d227ed137 |
completed | April 12, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.