Triple
T22071097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Hirt |
E545406
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cotton Candy |
—
|
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: Cotton Candy | Statement: [Al Hirt, notableWork, Cotton Candy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cotton Candy Context triple: [Al Hirt, notableWork, Cotton Candy]
-
A.
Cotton Candy
chosen
"Cotton Candy" is a popular jazz album and title track by trumpeter Al Hirt, showcasing his bright, melodic style in the early 1960s.
-
B.
Sweet Candy
Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
-
C.
Candy
"Candy" is a 1999 pop song by American singer Mandy Moore that became her breakout hit and signature early single.
-
D.
Candy
Candy is an aging ranch handyman in John Steinbeck’s novel "Of Mice and Men," known for his lost hand, his old dog, and his desperate hope to join George and Lennie’s dream of owning a farm.
-
E.
Candy
Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128881af481909b28cda2d343f4e3 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.