Triple
T22169126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Living with the Gods |
E547871
|
entity |
| Predicate | formatOfRelatedSeries |
P26987
|
FINISHED |
| Object | radio documentary series |
—
|
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: radio documentary series | Statement: [Living with the Gods, formatOfRelatedSeries, radio documentary series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatOfRelatedSeries Context triple: [Living with the Gods, formatOfRelatedSeries, radio documentary series]
-
A.
inSeriesFormat
Indicates that one entity is organized or presented as part of a sequential series format relative to another entity.
-
B.
relatedFormat
chosen
Indicates that two resources are available in different but closely related formats or media representations of essentially the same content.
-
C.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
D.
formerSeries
Indicates that one entity was previously a series associated with another entity, but no longer holds that status.
-
E.
followsSeriesAbbreviation
Indicates that one entity is an abbreviation that comes after another entity in a series of abbreviations.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6721e8819081d732df2691f4a4 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.