Triple
T4868599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Girl |
E109030
|
entity |
| Predicate | hasBassist |
P15279
|
FINISHED |
| Object | Ron Blair |
E344361
|
NE 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: Ron Blair | Statement: [American Girl, hasBassist, Ron Blair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Blair Context triple: [American Girl, hasBassist, Ron Blair]
-
A.
Ron Blair
chosen
Ron Blair is an American bassist best known as a longtime member of the rock band Tom Petty and the Heartbreakers.
-
B.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
C.
Grant Bardsley
Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
-
D.
Jon A. McBride
Jon A. McBride is a former NASA astronaut and U.S. Navy captain who piloted the Space Shuttle Challenger on the STS-41-G mission.
-
E.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7d809081909fc7c80c56f72840 |
completed | March 20, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9235e7b8819084fd9eb7c794e0e3 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:27 p.m.