Triple
T23090156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Blitzstein |
E575722
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I've Got the Tune |
—
|
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: I've Got the Tune | Statement: [Marc Blitzstein, notableWork, I've Got the Tune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I've Got the Tune Context triple: [Marc Blitzstein, notableWork, I've Got the Tune]
-
A.
I’ve Got the Tune
chosen
"I’ve Got the Tune" is a 1937 radio opera by American composer Marc Blitzstein that blends political satire with experimental musical theater.
-
B.
I Gotta Have a Song
"I Gotta Have a Song" is a soul track by Stevie Wonder featured on his 1970 album "Signed, Sealed & Delivered."
-
C.
I Got That
"I Got That" is a song featured on Christina Aguilera's 2002 album "Stripped," originally released internationally under the title "Liberation."
-
D.
I Got the Girl
"I Got the Girl" is a pop-rock song by American band Crush, featured on one of their music releases.
-
E.
You’ve Got It
"You’ve Got It" is a song by American country singer Billy Ray Cyrus from his 1992 debut album "Some Gave All."
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da99bec81908ecadf8dab10d1b7 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.