Triple
T25316977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stars at Noon |
E634770
|
entity |
| Predicate | theatricalReleaseDateInFrance |
P44452
|
FINISHED |
| Object | 14 September 2022 |
—
|
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: 14 September 2022 | Statement: [Stars at Noon, theatricalReleaseDateInFrance, 14 September 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalReleaseDateInFrance Context triple: [Stars at Noon, theatricalReleaseDateInFrance, 14 September 2022]
-
A.
releaseDateFrance
chosen
Indicates the date on which something (such as a product, film, or work) was officially released in France.
-
B.
theatricalReleaseDateCanada
Indicates the calendar date on which a film or similar work was first released theatrically in Canada.
-
C.
theatricalReleaseDateUS
Indicates the calendar date on which a work was first released theatrically in the United States.
-
D.
theatricalReleaseDateUK
Indicates the calendar date on which a work was first released theatrically in the United Kingdom.
-
E.
releaseDate_Theatrical
Indicates the date on which a work was first made publicly available in theaters.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49689e50881909c13a48de497e74f |
completed | May 1, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:28 p.m.