Triple
T24774291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Film and Television School |
E619812
|
entity |
| Predicate | alumniHaveWon |
P33557
|
FINISHED |
| Object | BAFTA Awards |
—
|
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: BAFTA Awards | Statement: [National Film and Television School, alumniHaveWon, BAFTA Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alumniHaveWon Context triple: [National Film and Television School, alumniHaveWon, BAFTA Awards]
-
A.
hasAlumniWhoWon
chosen
Indicates that an institution has alumni who have won a particular award, honor, or competition.
-
B.
hallOfFameAlumnus
Indicates that an individual is recognized as a Hall of Fame member associated with a particular institution, organization, or group.
-
C.
notableAlumniAchievement
Indicates that an alumnus is recognized for a significant achievement or distinction associated with their post-graduation activities.
-
D.
hasAlumnusAchievement
Indicates that an alumnus has attained a specific notable achievement or distinction.
-
E.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:33 a.m.