Triple
T11892632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madam Secretary (syndication and streaming releases) |
E282956
|
entity |
| Predicate | coversSeasons |
P1014
|
FINISHED |
| Object | season 1 |
—
|
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: season 1 | Statement: [Madam Secretary (syndication and streaming releases), coversSeasons, season 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversSeasons Context triple: [Madam Secretary (syndication and streaming releases), coversSeasons, season 1]
-
A.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
-
B.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
C.
numberOfSeasons
Indicates the total count of seasons associated with a particular entity (such as a series, competition, or event).
-
D.
viewingSeason
Indicates the season or time period during which something is typically viewed, accessed, or experienced.
-
E.
popularSeason
Indicates that a particular season is widely liked, favored, or frequently chosen by many people.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.