Triple
T14414262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dressmaker |
E357406
|
entity |
| Predicate | theatricalReleaseYearInAustralia |
P114158
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [The Dressmaker, theatricalReleaseYearInAustralia, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalReleaseYearInAustralia Context triple: [The Dressmaker, theatricalReleaseYearInAustralia, 2015]
-
A.
releaseDateAustralia
Indicates the date on which something is officially released or made available in Australia.
-
B.
theatricalReleaseDateUS
Indicates the calendar date on which a work was first released theatrically in the United States.
-
C.
theatricalReleaseDateCanada
Indicates the calendar date on which a film or similar work was first released theatrically in Canada.
-
D.
theatricalReleaseDateUK
Indicates the calendar date on which a work was first released theatrically in the United Kingdom.
-
E.
theatricalReleaseIn
Indicates that a film or performance was released or shown theatrically in a specified location or market.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:17 a.m.