Triple
T31393316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 66th Primetime Emmy Awards |
E800793
|
entity |
| Predicate | mostAwardsProgramCount |
P171687
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [66th Primetime Emmy Awards, mostAwardsProgramCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostAwardsProgramCount Context triple: [66th Primetime Emmy Awards, mostAwardsProgramCount, 5]
-
A.
mostAwardsProgram
chosen
Indicates that a program holds the highest number of awards compared to all other programs in the relevant set.
-
B.
hasAwardProgram
Indicates that an entity maintains or offers a formal award or recognition program.
-
C.
mostAwardsWinnerCount
Indicates the number of awards received by the entity that holds the record for winning the most awards within a given context.
-
D.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
E.
pointsAwarded
Indicates that a specified number of points has been granted to an entity as a result of some action or event.
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 9:19 p.m.