Triple
T27821388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doris Day Show |
E702823
|
entity |
| Predicate | hasSeasonCountChange |
P192635
|
FINISHED |
| Object | major format changes between seasons |
—
|
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: major format changes between seasons | Statement: [The Doris Day Show, hasSeasonCountChange, major format changes between seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasonCountChange Context triple: [The Doris Day Show, hasSeasonCountChange, major format changes between seasons]
-
A.
hasSeasonFrequency
Indicates how often something occurs or is scheduled within a specific season.
-
B.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
C.
hasSeasonLength
Indicates that one entity has a specified duration or length for its season.
-
D.
hasSeasonRelation
Indicates a relationship where one entity is associated with another through a specific season or seasonal context (e.g., occurring in, relevant to, or characteristic of that season).
-
E.
hasSeasonScope
Indicates that something is applicable, valid, or relevant only within a specified season or seasonal period.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: April 27, 2026, 5:49 p.m.