Triple
T946158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor Larry Vaughn |
E20416
|
entity |
| Predicate | appearsInScene |
P795
|
FINISHED |
| Object | town council meeting about shark attacks |
—
|
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: town council meeting about shark attacks | Statement: [Mayor Larry Vaughn, appearsInScene, town council meeting about shark attacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInScene Context triple: [Mayor Larry Vaughn, appearsInScene, town council meeting about shark attacks]
-
A.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
B.
meetsInCamera
Indicates that two or more entities are physically present together in the same camera frame or shot at the same time.
-
C.
capturedIn
Indicates that one entity was taken prisoner, seized, or otherwise brought under control within the context, location, or event represented by another entity.
-
D.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
E.
presentedIn
Indicates that something is shown, displayed, or formally introduced within a particular context, medium, event, or setting.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29f05f481908814bd11f235e9d0 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.