Triple
T33805339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toast of London |
E866366
|
entity |
| Predicate | hasBAFTAWinningPerformance |
P193006
|
FINISHED |
| Object | Matt Berry as Steven Toast |
—
|
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: Matt Berry as Steven Toast | Statement: [Toast of London, hasBAFTAWinningPerformance, Matt Berry as Steven Toast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBAFTAWinningPerformance Context triple: [Toast of London, hasBAFTAWinningPerformance, Matt Berry as Steven Toast]
-
A.
hasGivenAcclaimedPerformance
Indicates that an entity has delivered a performance that has received significant praise or critical acclaim.
-
B.
hasAudienceAward
Indicates that an entity has received an award determined by audience or public voting.
-
C.
hasTonyAward
Indicates that an entity has received or been awarded a Tony Award.
-
D.
hasEmmyWinningRole
Indicates that an entity has performed a role for which they (or the role) received an Emmy Award.
-
E.
academyAwardWinningPerformances
Indicates that the performances in question have won an Academy Award (Oscar) for acting.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: May 1, 2026, 1:46 a.m.