Triple
T19861894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edge of Seventeen |
E477284
|
entity |
| Predicate | hasBassist |
P15279
|
FINISHED |
| Object | Bob Glaub |
—
|
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 Glaub | Statement: [Edge of Seventeen, hasBassist, Bob Glaub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Glaub Context triple: [Edge of Seventeen, hasBassist, Bob Glaub]
-
A.
Bob Glaub
chosen
Bob Glaub is an American session bassist renowned for his work with prominent rock and pop artists since the 1970s.
-
B.
Bobby Caffey
Bobby Caffey is a fictional paramedic and main character from the television drama series "Third Watch."
-
C.
Gus Schilling
Gus Schilling was an American character actor and comedian known for his supporting roles in Hollywood films of the 1930s and 1940s.
-
D.
Bobby Schilling
Bobby Schilling was an American Republican politician and restaurateur who represented Illinois's 17th congressional district in the U.S. House of Representatives from 2011 to 2013.
-
E.
Bobby Dyer
Bobby Dyer is an American politician who serves as the mayor of Virginia Beach, Virginia.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589b3cbc8190afe847e83f04c45b |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.