Triple
T22126734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Makes You Beautiful |
E546808
|
entity |
| Predicate | hasBSide |
P15273
|
FINISHED |
| Object | Na Na Na |
—
|
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: Na Na Na | Statement: [What Makes You Beautiful, hasBSide, Na Na Na]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Na Na Na Context triple: [What Makes You Beautiful, hasBSide, Na Na Na]
-
A.
Na Na
Na Na is a song featured on the album "Beauty Marks" by American singer Ciara.
-
B.
Na Na Na (Na Na Na Na Na Na Na Na Na)
"Na Na Na (Na Na Na Na Na Na Na Na Na)" is a high-energy punk-influenced rock single by My Chemical Romance, known for its explosive sound and role in the band’s concept album "Danger Days: The True Lives of the Fabulous Killjoys."
-
C.
Na-Nana-Na
chosen
"Na-Nana-Na" is a pop single released by British singer Rachel Stevens following her hit song "Over and Over."
-
D.
Ill Na Na
Ill Na Na is the 1996 debut studio album by American rapper Foxy Brown, known for its hardcore hip-hop sound and sexually confident, streetwise lyrics.
-
E.
The Na-Na Song
"The Na-Na Song" is a track by Sheryl Crow from her debut album "Tuesday Night Music Club," known for its playful, irreverent lyrics and catchy pop-rock style.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12981ac008190aafb516f2a28fefc |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.