Triple
T5148072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extraordinary Girl |
E116122
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Give Me Novacaine |
E116120
|
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: Give Me Novacaine | Statement: [Extraordinary Girl, follows, Give Me Novacaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Give Me Novacaine Context triple: [Extraordinary Girl, follows, Give Me Novacaine]
-
A.
Give Me Novacaine
chosen
"Give Me Novacaine" is a song by American punk rock band Green Day from their rock opera album *American Idiot*, blending melodic punk with themes of emotional numbness and escape.
-
B.
You Ain't the First
"You Ain't the First" is an acoustic, country-tinged rock song by Guns N' Roses known for its laid-back, barroom style and breakup-themed lyrics.
-
C.
Don’t Hurt Yourself
"Don’t Hurt Yourself" is a fierce, rock-infused R&B track by Beyoncé featuring Jack White, known for its raw vocal delivery and themes of rage and betrayal.
-
D.
Tell Me No
"Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
-
E.
I Can Give You More
"I Can Give You More" is a hip hop single by LL Cool J from his debut album "Radio."
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed920e650819097d8b74fe8b8966a |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:43 p.m.