Triple
T21117328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mojo (2013 West End production) |
E520331
|
entity |
| Predicate | roleRupertGrint |
P142918
|
FINISHED |
| Object | Sweets |
—
|
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: Sweets | Statement: [Mojo (2013 West End production), roleRupertGrint, Sweets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleRupertGrint Context triple: [Mojo (2013 West End production), roleRupertGrint, Sweets]
-
A.
roleInHarryPotter
Indicates that one entity has a specific role or character part within the Harry Potter series in relation to the other entity.
-
B.
roleOfHarryVanda
Indicates that the specified role or function is held or performed by Harry Vanda in relation to another entity or context.
-
C.
relationshipTypeWithRubeusHagrid
Indicates the specific nature or category of the relationship an entity has with Rubeus Hagrid (e.g., friend, colleague, student, family).
-
D.
roleDuringFirstWizardingWar
Indicates the specific function, position, or involvement an entity had during the First Wizarding War.
-
E.
roleInTheNightmareBeforeChristmas
Indicates the specific role or character that an entity has in the movie "The Nightmare Before Christmas."
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e721078ac48190980441b6ada0e2b4 |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:55 p.m.