Triple
T15632505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donny Kerabatsos |
E375849
|
entity |
| Predicate | ashesScatteredWith |
P37918
|
FINISHED |
| Object | Jeffrey "The Dude" Lebowski present |
—
|
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: Jeffrey "The Dude" Lebowski present | Statement: [Donny Kerabatsos, ashesScatteredWith, Jeffrey "The Dude" Lebowski present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ashesScatteredWith Context triple: [Donny Kerabatsos, ashesScatteredWith, Jeffrey "The Dude" Lebowski present]
-
A.
ashesScatteredIn
Indicates that a deceased person's ashes have been dispersed at or within a specified location.
-
B.
ashesPlacedOn
Indicates that a deceased person's ashes have been set or stored at a specific location or within a particular container.
-
C.
ashesPlacedWith
chosen
Indicates that a person’s ashes are interred or stored together with those of another individual or entity in the same location or container.
-
D.
ashFall
Indicates that ash is falling or being deposited from the air onto a location or object.
-
E.
hasScar
Indicates that one entity bears or possesses a scar on its body.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.