Triple
T8007402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Unstructured Reality Program |
E186396
|
entity |
| Predicate | genreOfProgramsHonored |
P56334
|
FINISHED |
| Object | reality television |
—
|
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: reality television | Statement: [Primetime Emmy Award for Outstanding Unstructured Reality Program, genreOfProgramsHonored, reality television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfProgramsHonored Context triple: [Primetime Emmy Award for Outstanding Unstructured Reality Program, genreOfProgramsHonored, reality television]
-
A.
festivalHonors
Indicates that a particular festival is held in recognition, celebration, or commemoration of a specific person, group, event, or concept.
-
B.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
-
C.
awardGenreFocus
chosen
Indicates that an award specifically recognizes or emphasizes works within a particular genre.
-
D.
notableProgramType
Indicates that the subject is recognized for or associated with a particular type or category of program.
-
E.
awardShowType
Indicates the specific category or kind of award show associated with an entity.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf8a6048190970685a83fd2f59d |
completed | March 31, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:18 p.m.