Triple
T35625795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Sedaris as Princess Carolyn |
E1029447
|
entity |
| Predicate | seasonsFeatured |
P193506
|
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: [Amy Sedaris as Princess Carolyn, seasonsFeatured, Season 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonsFeatured Context triple: [Amy Sedaris as Princess Carolyn, seasonsFeatured, Season 1]
-
A.
seasonFeatured
Indicates that a particular season is highlighted, promoted, or given special prominence in relation to another entity (such as a series, platform, or collection).
-
B.
summerFeature
Indicates that something is a characteristic, attraction, or condition specifically associated with or prominent during the summer season.
-
C.
popularSeason
Indicates that a particular season is widely liked, favored, or frequently chosen by many people.
-
D.
hasSeasonalHighlight
Indicates that something features a notable or emphasized aspect during a particular season or time of year.
-
E.
specialSeason
Indicates that an entity is associated with a particular season that is distinguished or treated differently from regular seasons (e.g., for events, offers, or conditions).
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: May 3, 2026, 4:05 p.m.