Triple
T18676751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Aguilera |
E456620
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Beautiful |
—
|
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: Beautiful | Statement: [Christina Aguilera, notableWork, Beautiful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beautiful Context triple: [Christina Aguilera, notableWork, Beautiful]
-
A.
Beautiful
chosen
"Beautiful" is a critically acclaimed pop ballad by Christina Aguilera that became an empowering anthem about inner beauty and self-acceptance.
-
B.
Beautiful
"Beautiful" is a 2003 hip hop/R&B single by Snoop Dogg featuring Pharrell Williams and Charlie Wilson, known for its smooth, laid-back vibe and memorable hook.
-
C.
Beautiful
"Beautiful" is a standout hip-hop track by Eminem from his album *Relapse*, noted for its introspective lyrics and emotional tone.
-
D.
Beautiful
Beautiful is a pop and R&B studio album by Australian singer Jessica Mauboy that showcases her soulful vocals and contemporary production.
-
E.
Beautiful
"Beautiful" is a trance track by Dutch DJ and producer Ferry Corsten, recognized for its melodic, uplifting style within the electronic dance music scene.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b5a52c81908a71ac86544fb6aa |
completed | April 19, 2026, 10:27 p.m. |
Created at: April 10, 2026, 11:48 a.m.