Triple
T36429008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daytime Emmy Award for Outstanding Writing Team in a Drama Series |
E897388
|
entity |
| Predicate | typicalNomineeWorkType |
P110911
|
FINISHED |
| Object | daytime drama 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: daytime drama series | Statement: [Daytime Emmy Award for Outstanding Writing Team in a Drama Series, typicalNomineeWorkType, daytime drama series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNomineeWorkType Context triple: [Daytime Emmy Award for Outstanding Writing Team in a Drama Series, typicalNomineeWorkType, daytime drama series]
-
A.
nominatedWorkType
chosen
Indicates the type or category of work for which an entity has been nominated.
-
B.
nominatedPersonOccupation
Indicates that the nominated person holds or is associated with a particular occupation or professional role.
-
C.
nominatedWork
Indicates that a particular work (such as a book, film, or artwork) has been put forward as a candidate for an award, honor, or recognition.
-
D.
typeOfWorkHeIsKnownFor
Indicates the category or kind of work for which a person is recognized or notable.
-
E.
portrayedInWorkType
Indicates that an entity is depicted or represented within a work of a specified type (such as a film, book, painting, or other creative medium).
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.