Triple
T6795845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Queen of Scots (2018 film) |
E156050
|
entity |
| Predicate | theatricalReleaseDateUnitedKingdom |
P3530
|
FINISHED |
| Object | 2019-01-18 |
—
|
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: 2019-01-18 | Statement: [Mary Queen of Scots (2018 film), theatricalReleaseDateUnitedKingdom, 2019-01-18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalReleaseDateUnitedKingdom Context triple: [Mary Queen of Scots (2018 film), theatricalReleaseDateUnitedKingdom, 2019-01-18]
-
A.
theatricalReleaseDateUK
chosen
Indicates the calendar date on which a work was first released theatrically in the United Kingdom.
-
B.
releaseDateUnitedKingdom
Indicates the date on which something (such as a product, work, or event) was officially released or made available in the United Kingdom.
-
C.
theatricalReleaseDateUS
Indicates the calendar date on which a work was first released theatrically in the United States.
-
D.
releaseDate_Theatrical
Indicates the date on which a work was first made publicly available in theaters.
-
E.
theatricalReleaseDateCanada
Indicates the calendar date on which a film or similar work was first released theatrically in Canada.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c6e7dc8190b1f33372d047baba |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.