Triple
T1928488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arsenic and Old Lace (film) |
E40885
|
entity |
| Predicate | filmingCompleted |
P32265
|
FINISHED |
| Object | 1941 |
—
|
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: 1941 | Statement: [Arsenic and Old Lace (film), filmingCompleted, 1941]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingCompleted Context triple: [Arsenic and Old Lace (film), filmingCompleted, 1941]
-
A.
filmingState
chosen
Indicates the current production or recording status of a filming activity, such as whether it is planned, in progress, paused, or completed.
-
B.
filmingDate
Indicates the date on which the filming or recording of a work took place.
-
C.
filmingPeriod
Indicates the time span during which the filming of something takes place.
-
D.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
E.
filmedFrom
Indicates that one entity serves as the physical or conceptual vantage point or recording source from which another entity (such as a scene, object, or event) is filmed.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb26593308190835863b760449d04 |
completed | March 7, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.