Triple
T7674358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm a Celebrity...Get Me Out of Here! |
E173822
|
entity |
| Predicate | filmingEnvironment |
P44217
|
FINISHED |
| Object | controlled jungle-style set near Murwillumbah, New South Wales |
—
|
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: controlled jungle-style set near Murwillumbah, New South Wales | Statement: [I'm a Celebrity...Get Me Out of Here!, filmingEnvironment, controlled jungle-style set near Murwillumbah, New South Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingEnvironment Context triple: [I'm a Celebrity...Get Me Out of Here!, filmingEnvironment, controlled jungle-style set near Murwillumbah, New South Wales]
-
A.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
B.
filmSetting
Indicates the place, time, or environment in which the events of a film are set or take place.
-
C.
filmingLocationContext
chosen
Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
-
D.
stateOfFilming
Indicates the location or jurisdiction (such as a state or region) where the filming of a work takes place.
-
E.
placeOfShooting
Indicates the location where a shooting event took place.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.