Triple
T4124455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawbreaker |
E92691
|
entity |
| Predicate | roleOfChrisBauermeister |
P54419
|
FINISHED |
| Object | bass guitar |
—
|
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: bass guitar | Statement: [Jawbreaker, roleOfChrisBauermeister, bass guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfChrisBauermeister Context triple: [Jawbreaker, roleOfChrisBauermeister, bass guitar]
-
A.
roleOfChrisHakius
Indicates that the specified role or position is held or performed by Chris Hakius.
-
B.
roleInOperationReinhard
Indicates that an entity held a specific role or participated in some capacity in Operation Reinhard, the Nazi plan to exterminate Jews in occupied Poland during the Holocaust.
-
C.
roleOfGuyBerryman
Indicates the specific role, position, or function that Guy Berryman holds in relation to another entity or context.
-
D.
roleInHorribleBosses
Indicates that an entity has a specific acting role or character appearance in the movie "Horrible Bosses."
-
E.
designedRole
Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0245adbc81908b89a40850047975 |
completed | March 9, 2026, 5:24 p.m. |
Created at: March 9, 2026, 3:41 p.m.