Triple
T5018791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Casting for a Comedy Series |
E112798
|
entity |
| Predicate | honorsWorkType |
P8623
|
FINISHED |
| Object | 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: series | Statement: [Primetime Emmy Award for Outstanding Casting for a Comedy Series, honorsWorkType, series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsWorkType Context triple: [Primetime Emmy Award for Outstanding Casting for a Comedy Series, honorsWorkType, series]
-
A.
honourType
Indicates the specific category or classification of an honour or award associated with an entity.
-
B.
honorsRole
Indicates that one entity formally recognizes and respects the position, title, or role held by another entity.
-
C.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
D.
hasAwardedWorkType
chosen
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
E.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73415e088190802f9bb283262386 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.