Triple
T20118342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanie |
E490528
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Melanie Safka-Schekeryk |
—
|
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: Melanie Safka-Schekeryk | Statement: [Melanie, alsoKnownAs, Melanie Safka-Schekeryk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Safka-Schekeryk Context triple: [Melanie, alsoKnownAs, Melanie Safka-Schekeryk]
-
A.
Melanie Anne Safka
chosen
Melanie Anne Safka is an American singer-songwriter best known for her 1970s folk-pop hits such as "Brand New Key" and her performance at Woodstock.
-
B.
Melanie Nissen
Melanie Nissen is a music industry figure best known as the co-founder of the influential Los Angeles punk label Slash Records.
-
C.
Melanie Ciccone
Melanie Ciccone is an American woman best known as the younger sister of pop icon Madonna (born Madonna Louise Ciccone).
-
D.
Melanie Miller
Melanie Miller is a film and television producer known for her work on projects such as the documentary "Navalny."
-
E.
Melanie Hill
Melanie Hill is an English actress known for her work in television and film, including prominent roles in series such as "Coronation Street" and "Waterloo Road."
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.