Triple
T21954922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netolicky |
E542161
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Bob Netolicky |
—
|
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: Bob Netolicky | Statement: [Netolicky, hasNotableBearer, Bob Netolicky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Netolicky Context triple: [Netolicky, hasNotableBearer, Bob Netolicky]
-
A.
Bob Netolicky
chosen
Bob Netolicky is a former professional basketball forward best known for his starring role and multiple championships with the Indiana Pacers during the American Basketball Association era.
-
B.
Philip LaZebnik
Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
-
C.
Dave Novotny
Dave Novotny is a musician best known as a member of the American rock band Saliva.
-
D.
Dave Novotny
Dave Novotny is a composer best known for creating the music for the work titled "Your Disease."
-
E.
Dave Novotny
Dave Novotny is a bassist best known for his work with the band Rise Up.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243f46dc819097e4a1849af7fba4 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.