Triple
T23152780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Candy |
E578363
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Molly Nyman |
—
|
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: Molly Nyman | Statement: [Hard Candy, musicBy, Molly Nyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Nyman Context triple: [Hard Candy, musicBy, Molly Nyman]
-
A.
Molly Nyman
chosen
Molly Nyman is a British film composer known for her work on scores for independent and international films, including the drama "A Mighty Heart."
-
B.
Molly Neuman
Molly Neuman is an American musician and feminist known as a pioneering figure in the riot grrrl movement, particularly through her work as the drummer for influential punk bands like Bratmobile.
-
C.
Molly Gunn
Molly Gunn is the carefree, spoiled daughter of a late rock star who is forced to grow up when she becomes a nanny to a serious young girl in the film "Uptown Girls."
-
D.
Molly Cregg
Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
-
E.
Molly Hassell
Molly Hassell is a film producer known for her work on the comedy film "The Little Hours."
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.