Triple
T3498729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl VI |
E73912
|
entity |
| Predicate | halftimeShow |
P10817
|
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: [Super Bowl VI, halftimeShow, Al Hirt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Hirt Context triple: [Super Bowl VI, halftimeShow, 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.
Jo Bouillon
Jo Bouillon was a French bandleader and conductor best known as the fourth husband of entertainer Josephine Baker.
-
C.
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.
-
D.
John Refoua
John Refoua was an American film editor best known for his work on major Hollywood productions such as "Avatar" and "Southpaw."
-
E.
Dick Haymes
Dick Haymes was a popular Argentine-born American traditional pop singer and actor prominent in the 1940s and 1950s.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd3ad548190abbfae820bf3b66d |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d2ef9c819087458a0ac02d4596 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.