Triple
T14070541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up (song) |
E338593
|
entity |
| Predicate | vocalist |
P2000
|
FINISHED |
| Object | Vanessa White |
E336676
|
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: Vanessa White | Statement: [Up (song), vocalist, Vanessa White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa White Context triple: [Up (song), vocalist, Vanessa White]
-
A.
Vanessa White
chosen
Vanessa White is a British singer best known as a member of the girl group The Saturdays.
-
B.
Honeysuckle Weeks
Honeysuckle Weeks is a British actress best known for playing Samantha Stewart in the television detective drama series "Foyle's War."
-
C.
Mara Vanderslice
Mara Vanderslice is an American faith-based political strategist known for her work engaging religious communities in progressive politics and public policy.
-
D.
Amber Mark
Amber Mark is an American singer, songwriter, and producer known for her soulful blend of R&B, pop, and global influences.
-
E.
Emma Decody
Emma Decody is a main character in the TV series "Bates Motel," portrayed as a smart, kind-hearted teenager with cystic fibrosis who becomes close to Norman Bates.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5aa828819098ef55a70a0decbc |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda902c598819083c5373172ed758e |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 9, 2026, 10:21 p.m.