Triple
T13310157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa Etheridge |
E317038
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Need to Wake Up |
E317037
|
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: I Need to Wake Up | Statement: [Melissa Etheridge, notableWork, I Need to Wake Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Need to Wake Up Context triple: [Melissa Etheridge, notableWork, I Need to Wake Up]
-
A.
I Need to Wake Up
chosen
"I Need to Wake Up" is an Academy Award–winning environmental anthem by Melissa Etheridge, written for the climate change documentary "An Inconvenient Truth."
-
B.
I Want to Wake Up
"I Want to Wake Up" is a song by the Pet Shop Boys, known as a synth-pop track from their 1987 album "Actually."
-
C.
Wake Up
"Wake Up" is a song featured on the album "This Is Not a Test!" by American singer and rapper Missy Elliott.
-
D.
Wake Up
"Wake Up" is a soulful R&B song by Alicia Keys featured on her acclaimed album *The Diary of Alicia Keys*.
-
E.
Wake Up
Wake Up is a short film directed by Olivia Wilde that explores themes of technology, disconnection, and human connection.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2810a881908b1ed0cc4fb9ac12 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:29 p.m.