Triple
T23927655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Starter Wife |
E602401
|
entity |
| Predicate | miniseriesFormat |
P154389
|
FINISHED |
| Object | 6-episode miniseries |
—
|
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: 6-episode miniseries | Statement: [The Starter Wife, miniseriesFormat, 6-episode miniseries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: miniseriesFormat Context triple: [The Starter Wife, miniseriesFormat, 6-episode miniseries]
-
A.
inSeriesFormat
Indicates that one entity is organized or presented as part of a sequential series format relative to another entity.
-
B.
typicalSeriesFormat
Indicates that one entity represents the usual or standard format or structure in which a given series is presented or organized.
-
C.
narrativeSeries
Indicates that one narrative work belongs to, or is part of, an ordered series of related narratives.
-
D.
runningTimeMiniSeriesVersion
Indicates the duration of the mini-series version of a work, typically measured in time units such as minutes.
-
E.
seriesMedium
Indicates that a series is presented or distributed through a particular medium or format (such as television, radio, print, or online).
- F. None of above. chosen
Provenance (4 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1efb348190b4cbb32b3b6c9ae4 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:49 p.m.