Triple
T31393317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 66th Primetime Emmy Awards |
E800793
|
entity |
| Predicate | mostNominationsProgram |
P67360
|
FINISHED |
| Object | Game of Thrones |
—
|
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: Game of Thrones | Statement: [66th Primetime Emmy Awards, mostNominationsProgram, Game of Thrones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostNominationsProgram Context triple: [66th Primetime Emmy Awards, mostNominationsProgram, Game of Thrones]
-
A.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
-
B.
mostNominationsRecipient
chosen
Indicates that the subject is the entity that has received the highest number of nominations within a given context or set.
-
C.
mostNominationsFilm
Indicates that a film holds the highest number of nominations within a given set, context, or award event.
-
D.
mostAwardsWinnerCount
Indicates the number of awards received by the entity that holds the record for winning the most awards within a given context.
-
E.
mostAwardsFilmCount
Indicates the total number of awards received by the film that holds the record for having the most awards.
- 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_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:19 p.m.