Triple
T15122138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purpose |
E361194
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | I’ll Show You |
E1137763
|
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’ll Show You | Statement: [Purpose, notableTrack, I’ll Show You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’ll Show You Context triple: [Purpose, notableTrack, I’ll Show You]
-
A.
I’ll Show You
chosen
"I'll Show You" is a 2015 electronic-pop song by Justin Bieber that reflects on the pressures of fame and his personal struggles.
-
B.
Show Yourself
"Show Yourself" is a pivotal power ballad from Disney's animated film Frozen II in which Elsa discovers the source of her magical powers and embraces her true identity.
-
C.
Show Me
"Show Me" is a lively, assertive song from the musical *My Fair Lady* in which Eliza Doolittle demands genuine emotional expression over empty words.
-
D.
Show Me
"Show Me" is a soulful R&B track by American singer-songwriter Jill Scott featured on her acclaimed debut album "Who Is Jill Scott? Words and Sounds Vol. 1."
-
E.
Show Me
"Show Me" is a song by Bruno Mars from his 2012 album *Unorthodox Jukebox*, showcasing a laid-back, reggae-influenced style.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe6c9cc8190b15e81092faa8ccf |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.