Triple
T36246485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquarius Films |
E891674
|
entity |
| Predicate | countryOfWorkDistribution |
P131264
|
FINISHED |
| Object | Australia |
E876
|
NE 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: Australia | Statement: [Aquarius Films, countryOfWorkDistribution, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfWorkDistribution Context triple: [Aquarius Films, countryOfWorkDistribution, Australia]
-
A.
professionDistribution
Indicates how professions are spread or allocated across a set of entities or groups.
-
B.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
-
C.
worksInCountry
chosen
Indicates that an entity performs its work or professional activities within the specified country.
-
D.
createdForWorkByCountry
Indicates that a work (such as a product, artwork, or document) was created specifically for or on behalf of a particular country.
-
E.
countryInWork
Indicates that a creative work is set in, associated with, or significantly involves a particular country.
- F. None of above.
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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a02f441bd408190923b6b68adee8fde |
completed | May 12, 2026, 9:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a394d41fdcc819091c2d7282987fb23 |
completed | June 22, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_6a02f3c1e64881908569423c9f298f26 |
completed | May 12, 2026, 9:32 a.m. |
Created at: May 3, 2026, 4:09 p.m.