Triple
T20875818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Knows Where the Time Goes |
E514014
|
entity |
| Predicate | sideOneContains |
P46132
|
FINISHED |
| Object | Hello, Hooray |
—
|
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: Hello, Hooray | Statement: [Who Knows Where the Time Goes, sideOneContains, Hello, Hooray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello, Hooray Context triple: [Who Knows Where the Time Goes, sideOneContains, Hello, Hooray]
-
A.
Hello, Hooray
chosen
"Hello, Hooray" is a song best known from its popular rendition by Alice Cooper, blending theatrical rock with celebratory, anthemic lyrics.
-
B.
Hooray for What!
Hooray for What! is a 1937 Broadway musical comedy with music by Harold Arlen and lyrics by E.Y. Harburg, known for its satirical take on war and politics.
-
C.
Goodbye Hooray
"Goodbye Hooray" is a song by the Red Hot Chili Peppers from their 2011 studio album "I'm with You."
-
D.
Say Hello, Wave Goodbye
"Say Hello, Wave Goodbye" is a synth-pop ballad by Soft Cell, known for its melancholic lyrics and distinctive electronic sound.
-
E.
Hello in There
"Hello in There" is a poignant folk ballad by John Prine, best known through Bette Midler’s emotive cover, that reflects on aging and loneliness.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674f68c8190a7b43aeea5b9b976 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.