Triple
T4301416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daytime Emmy Award for Outstanding Lead Actor in a Drama Series |
E99844
|
entity |
| Predicate | dramaType |
P55336
|
FINISHED |
| Object | soap opera |
—
|
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: soap opera | Statement: [Daytime Emmy Award for Outstanding Lead Actor in a Drama Series, dramaType, soap opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dramaType Context triple: [Daytime Emmy Award for Outstanding Lead Actor in a Drama Series, dramaType, soap opera]
-
A.
theatricalGenre
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
-
B.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
-
C.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
D.
dramaticForm
Indicates that one entity is expressed, structured, or realized in the form of a particular dramatic genre or theatrical mode.
-
E.
typeOfPlay
Indicates the specific category or genre of a play that characterizes what kind of play it is.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509fb2b88190a13ab88a5b924052 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:08 p.m.