Triple
T3170448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do I Hear a Waltz? |
E66317
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Someone Woke Up |
E66366
|
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: Someone Woke Up | Statement: [Do I Hear a Waltz?, notableSong, Someone Woke Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Someone Woke Up Context triple: [Do I Hear a Waltz?, notableSong, Someone Woke Up]
-
A.
Someone Woke Up
chosen
"Someone Woke Up" is a lesser-known musical work composed by Richard Rodgers, showcasing his characteristic melodic style.
-
B.
Wake Up
"Wake Up" is a soulful R&B song by Alicia Keys featured on her acclaimed album *The Diary of Alicia Keys*.
-
C.
I Need to Wake Up
"I Need to Wake Up" is an Academy Award–winning environmental anthem by Melissa Etheridge, written for the climate change documentary "An Inconvenient Truth."
-
D.
"Wake Up"
"Wake Up" is an episode of the animated series Adventure Time that prominently features the powerful undead sorcerer known as the Lich.
-
E.
Awake
"Awake" is a song by the American rock band Bush, known for its post-grunge sound and emotive lyrics.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66c043081908eb23a4fe3420a78 |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235e9f04c8190933e893e59e9f342 |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.