Triple
T29959134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adele Live 2016 |
E760988
|
entity |
| Predicate | includesFilmTheme |
P120580
|
FINISHED |
| Object | Skyfall |
—
|
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: Skyfall | Statement: [Adele Live 2016, includesFilmTheme, Skyfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFilmTheme Context triple: [Adele Live 2016, includesFilmTheme, Skyfall]
-
A.
appliedToFilmTheme
Indicates that something (such as a technique, style, or concept) is applied specifically to the theme of a film.
-
B.
filmThemeConnection
chosen
Indicates a relationship where a film is associated with, explores, or is centered around a particular theme.
-
C.
identifierForFilmTheme
Indicates that something serves as an identifying label or code specifically assigned to a film theme.
-
D.
hasAttractionTheme
Indicates that something (such as a place, event, or attraction) is characterized by or associated with a particular theme or motif.
-
E.
fictionalThemePark
Indicates a relationship where an entity is a theme park that exists only within a fictional or imaginary context.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
Created at: April 29, 2026, 6:28 p.m.