Triple
T25194160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consumed |
E630956
|
entity |
| Predicate | hasContinuityWithEpisode |
P162083
|
FINISHED |
| Object | Slabtown |
—
|
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: Slabtown | Statement: [Consumed, hasContinuityWithEpisode, Slabtown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContinuityWithEpisode Context triple: [Consumed, hasContinuityWithEpisode, Slabtown]
-
A.
followsEpisode
Indicates that one episode occurs directly after another in a sequence or series.
-
B.
seriesContinuity
chosen
Indicates that one work, episode, or installment maintains narrative or canonical continuity with another within the same series.
-
C.
associatedEpisode
Indicates that one entity is linked or connected to a particular episode as its related or relevant installment.
-
D.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
E.
intendedEpisodes
Indicates that one entity is planned or designated to appear in, be used for, or be associated with specific episodes of another entity (such as a series or program).
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 21, 2026, 12:45 p.m.