Triple
T19913620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuts Like a Knife |
E478607
|
entity |
| Predicate | sideTwoTrack |
P5443
|
FINISHED |
| Object | What’s It Gonna Be |
—
|
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: What’s It Gonna Be | Statement: [Cuts Like a Knife, sideTwoTrack, What’s It Gonna Be]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What’s It Gonna Be Context triple: [Cuts Like a Knife, sideTwoTrack, What’s It Gonna Be]
-
A.
What’s It Gonna Be
chosen
"What’s It Gonna Be" is a song featured on John Legend’s 2006 album *Evolver*.
-
B.
It’s Gonna Be Good
"It’s Gonna Be Good" is a musical track performed by artist Dan Goodman.
-
C.
It's Gonna Be Me
"It's Gonna Be Me" is a 2000 pop song by American boy band *NSYNC, best known for its catchy hook, chart-topping success, and enduring status as an internet meme each April 30th.
-
D.
There’s Gonna Be A Day
"There’s Gonna Be A Day" is a song written by American songwriter Baker Knight, known for his contributions to mid-20th-century pop and rock music.
-
E.
There You'll Be
"There You'll Be" is a power ballad by American country-pop singer Faith Hill, best known as the theme song from the 2001 film Pearl Harbor and one of her signature hits.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659928030819085a4aafc6a0ef5c8 |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.