Triple
T32128366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 37th Academy Awards |
E820566
|
entity |
| Predicate | bestSpecialVisualEffects |
P36455
|
FINISHED |
| Object | Mary Poppins |
—
|
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: Mary Poppins | Statement: [37th Academy Awards, bestSpecialVisualEffects, Mary Poppins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestSpecialVisualEffects Context triple: [37th Academy Awards, bestSpecialVisualEffects, Mary Poppins]
-
A.
bestVisualEffectsWinner
chosen
Indicates that the subject is the work or individual that won the award for best visual effects in a given context or competition.
-
B.
specialEffectsBy
Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
-
C.
visualEffect
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
D.
specialEffectsTechnique
Indicates a relationship where a particular special effects method or process is used to create or enhance visual or auditory effects in a production.
-
E.
hasVisualEffectsSupervisor
Indicates that one entity serves as the visual effects supervisor responsible for overseeing the visual effects work on another entity (such as a film, episode, or production).
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:29 a.m.