Triple
T17672713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlène |
E440563
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Charlene |
—
|
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: Charlene | Statement: [Charlène, hasVariant, Charlene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlene Context triple: [Charlène, hasVariant, Charlene]
-
A.
Charlene
chosen
Charlene is a feminine given name derived from the male name Charles.
-
B.
Charlene
"Charlene" is a soulful R&B ballad by Anthony Hamilton that became one of his signature songs, known for its heartfelt lyrics about love and regret.
-
C.
Charlene Morton
Charlene Morton is the bold, street-smart ex-convict portrayed by Queen Latifah in the comedy film "Bringing Down the House."
-
D.
Charlyn
Charlyn is the birth name of American singer-songwriter and musician Chan Marshall, best known by her stage name Cat Power.
-
E.
Charlene Michaelson
Charlene Michaelson is a supporting character in the 1986 fantasy drama film "The Boy Who Could Fly," involved in the story of a troubled boy who may possess the ability to fly.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f69b11c8190b09add33f81776b3 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.