Triple
T15958490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Lou |
E386996
|
entity |
| Predicate | notablePerformer |
P17435
|
FINISHED |
| Object | Charlie Barnet |
E825814
|
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: Charlie Barnet | Statement: [Blue Lou, notablePerformer, Charlie Barnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Barnet Context triple: [Blue Lou, notablePerformer, Charlie Barnet]
-
A.
Charlie Barnet
chosen
Charlie Barnet was an American jazz saxophonist and bandleader known for his swing-era big band and hits like "Cherokee."
-
B.
Luke Burbank
Luke Burbank is an American radio host and podcaster best known for his work on public radio programs and his humorous commentary on current events.
-
C.
Charlie Babbitt
Charlie Babbitt is the self-centered young man in the film "Rain Man" who undergoes a profound personal transformation while reconnecting with his autistic savant brother.
-
D.
Howard Duff
Howard Duff was an American actor known for his work in film, radio, and television, including notable roles in classic noir and mid-20th-century dramas.
-
E.
Walter Brewster
Walter Brewster was a prominent local landowner and early settler after whom the Village of Brewster in New York was named.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fd7ce08190b5db4b486ccb6e40 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe806ef4819095a4dfe104d0bdc8 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.