Triple
T31393315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 66th Primetime Emmy Awards |
E800793
|
entity |
| Predicate | mostAwardsProgram |
P171687
|
FINISHED |
| Object | Breaking Bad |
—
|
NE NERFINISHED |
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: Breaking Bad | Statement: [66th Primetime Emmy Awards, mostAwardsProgram, Breaking Bad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostAwardsProgram Context triple: [66th Primetime Emmy Awards, mostAwardsProgram, Breaking Bad]
-
A.
hasAwardProgram
Indicates that an entity maintains or offers a formal award or recognition program.
-
B.
mostSuccessfulProgram
Indicates that the subject program is the most successful one (e.g., by performance, outcomes, or impact) among a specified set of programs.
-
C.
agencyProgramName
Indicates the specific program or initiative name associated with or administered by an agency.
-
D.
winnerProgram
Indicates that a program has achieved winning status in a competition, contest, or selection process.
-
E.
loyaltyProgramType
Indicates the specific category or kind of loyalty program associated with an entity (such as points-based, tiered, or subscription-based).
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 9:19 p.m.