Triple
T13633237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Burke |
E325778
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Al Hirt |
E127113
|
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: Al Hirt | Statement: [Paul Burke, relative, Al Hirt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Hirt Context triple: [Paul Burke, relative, Al Hirt]
-
A.
Al Hirt
chosen
Al Hirt was a renowned American trumpeter and bandleader known for his virtuosic jazz and pop performances and his prominence in the 1960s music scene.
-
B.
Larry Groupé
Larry Groupé is an American film and television composer known for his orchestral scores on projects ranging from feature films to documentaries and TV series.
-
C.
Jo Bouillon
Jo Bouillon was a French bandleader and conductor best known as the fourth husband of entertainer Josephine Baker.
-
D.
Sacha Distel
Sacha Distel was a French singer, guitarist, and television personality best known for his smooth vocal style and popular interpretations of jazz and pop standards.
-
E.
Kid Ory
Kid Ory was a pioneering New Orleans jazz trombonist and bandleader, known for his influential tailgate trombone style and collaborations with legends like Louis Armstrong.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a490508190924ac40f1dd519d6 |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fab07648190b3b3362a8ffa8961 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:51 p.m.