Triple
T32606361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saratoga (1937 film) |
E833531
|
entity |
| Predicate | remainingScenesCompletedUsing |
P174642
|
FINISHED |
| Object | body doubles |
—
|
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: body doubles | Statement: [Saratoga (1937 film), remainingScenesCompletedUsing, body doubles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remainingScenesCompletedUsing Context triple: [Saratoga (1937 film), remainingScenesCompletedUsing, body doubles]
-
A.
numberOfScenes
Indicates the total count of distinct scenes associated with or contained within an entity.
-
B.
hasLastSceneWith
Indicates that two entities share the same final scene or appearance together within a work or sequence.
-
C.
numberOfReliefScenes
Indicates the quantity of distinct relief scenes associated with or depicted on a given entity.
-
D.
hasStagedSceneAs
Indicates that one entity has arranged, directed, or presented another entity in a particular scene or setting, typically for performance, display, or representation.
-
E.
containsScene
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c6c719488190b91df99a88a5119b |
completed | May 3, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c2df27ec8190912ec8eb488836d0 |
completed | May 3, 2026, 3:37 a.m. |
Created at: May 1, 2026, 1:05 a.m.