Triple
T20411502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharks as execution method (film) |
E500596
|
entity |
| Predicate | hasCommonVisualElement |
P140042
|
FINISHED |
| Object | underwater viewing window |
—
|
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: underwater viewing window | Statement: [Sharks as execution method (film), hasCommonVisualElement, underwater viewing window]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonVisualElement Context triple: [Sharks as execution method (film), hasCommonVisualElement, underwater viewing window]
-
A.
hasCommonPlotElement
Indicates that two narrative works share at least one similar or overlapping plot component, event, or storyline feature.
-
B.
hasCommonElement
Indicates that two sets, collections, or groups share at least one element in common.
-
C.
hasCommonInitialPresentation
Indicates that two or more entities typically exhibit the same or very similar initial signs, symptoms, or manifestations.
-
D.
hasCommonValue
Indicates that two or more entities share at least one identical value or attribute in common.
-
E.
hasCommonSpace
Indicates that two or more entities share access to the same physical or virtual area intended for joint or overlapping use.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3f8fdc8190b05b6c41b38f34b7 |
completed | April 20, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:29 a.m.