Triple
T19645825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood, Sweat & Tears |
E471668
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hi-De-Ho |
—
|
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: Hi-De-Ho | Statement: [Blood, Sweat & Tears, notableWork, Hi-De-Ho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hi-De-Ho Context triple: [Blood, Sweat & Tears, notableWork, Hi-De-Ho]
-
A.
Heigh Ho
Heigh Ho is a critically acclaimed 2014 studio album by American musician and producer Blake Mills, noted for its intricate guitar work and genre-blending songwriting.
-
B.
Heigh-Ho
"Heigh-Ho" is a famous work-song sung by the Seven Dwarfs in Disney's animated film "Snow White and the Seven Dwarfs," typically associated with their march to and from the mine.
-
C.
Hoop-La
Hoop-La is a 1933 American pre-Code drama film starring Clara Bow in one of her final screen roles.
-
D.
Woo Hoo
"Woo Hoo" is a track featured on the album *Crime Pays*, likely contributing an energetic or standout moment within the record.
-
E.
Hi-De-Ho (That Old Sweet Roll)
chosen
"Hi-De-Ho (That Old Sweet Roll)" is a soul-pop song co-written by Gerry Goffin that became best known through Blood, Sweat & Tears’ 1970 hit recording.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641250e108190a707452fefc87041 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.