Triple
T17693180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Kennedy |
E441085
|
entity |
| Predicate | seriesRegularStatus |
P36465
|
FINISHED |
| Object | long-running regular character |
—
|
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: long-running regular character | Statement: [Karl Kennedy, seriesRegularStatus, long-running regular character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesRegularStatus Context triple: [Karl Kennedy, seriesRegularStatus, long-running regular character]
-
A.
seriesRegularIn
chosen
Indicates that an entity serves as a regular, recurring participant (such as a main or core cast member) in a particular series.
-
B.
seriesStatus
Indicates the current state or phase of a series within its lifecycle (e.g., ongoing, completed, canceled, or planned).
-
C.
seriesEndStatus
Indicates the final outcome or completion state of a series within a larger sequence or collection.
-
D.
legalStatusInSeries
Indicates the specific legal standing or role an entity holds within a particular series or grouped legal structure.
-
E.
statusInSira
Indicates the status or standing that an entity holds within the Sira system or classification.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47153a5c8819095c36fd414167fb1 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:03 a.m.