Triple
T26475692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Kezdy |
E666025
|
entity |
| Predicate | JohnKezdy |
P160784
|
FINISHED |
| Object | Naked Raygun |
—
|
NE NERFINISHED |
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: Naked Raygun | Statement: [Pierre Kezdy, JohnKezdy, Naked Raygun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JohnKezdy Context triple: [Pierre Kezdy, JohnKezdy, Naked Raygun]
-
A.
JohnKezdy
chosen
Indicates a relationship or action involving John Kezdy, such as participation, authorship, or association, depending on the specific context in which the predicate is used.
-
B.
Jacob Ammen
Indicates a relationship or action involving the entity "Jacob Ammen," though the specific nature of the relationship is not defined by the predicate alone.
-
C.
Jack Hively
Indicates a relationship or action involving the person named Jack Hively, such as authorship, direction, or participation in a work or event.
-
D.
Joseph Alioto
Indicates a relationship or action involving the person named Joseph Alioto, such as authorship, participation, or association in a given context.
-
E.
James Pearson
Indicates a relationship or action involving the entity named "James Pearson" and another entity, event, or attribute, depending on context.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612cce1348190861a76259a2b9c85 |
completed | May 2, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 12:23 a.m.