Triple
T17638292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alela Diane |
E429155
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alela Diane |
—
|
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: Alela Diane | Statement: [Alela Diane, name, Alela Diane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alela Diane Context triple: [Alela Diane, name, Alela Diane]
-
A.
Alela Diane
chosen
Alela Diane is an American folk singer-songwriter known for her intimate, lyrically rich songs and distinctive, haunting vocal style.
-
B.
Melody Rae Kandil
Melody Rae Kandil is a television personality known for appearing on the reality series "Dash Dolls," which follows the lives of employees at the Kardashian-owned DASH boutique.
-
C.
Nadine Lustre
Nadine Lustre is a Filipino actress, singer, and multimedia star best known for her roles in popular Philippine films and television series and her influence in contemporary pop culture.
-
D.
Charice
Charice is a Filipino singer known for her powerful vocals and international breakthrough via YouTube and appearances on shows like The Oprah Winfrey Show and Glee.
-
E.
Karylle
Karylle is a Filipino singer, actress, and television host known for her work in music, theater, and variety shows in the Philippines.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de2c85c819087e17a9ff93e4964 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6 a.m.