Triple
T22975761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Karenina (2012 film) |
E571310
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Melanie Ann Oliver |
—
|
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 Ann Oliver | Statement: [Anna Karenina (2012 film), editedBy, Melanie Ann Oliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Ann Oliver Context triple: [Anna Karenina (2012 film), editedBy, Melanie Ann Oliver]
-
A.
Melanie Oliver
chosen
Melanie Oliver is a film editor known for her work on major feature films and television projects, including the 2019 adaptation of "Cats."
-
B.
Melanie Graham
Melanie Graham is a film and television producer known for her work on the project "Best Seller."
-
C.
Melanie Pearson
Melanie Pearson is a fictional character from the Australian soap opera "Neighbours," known for her quirky personality and long-running, on-and-off relationship with Toadie Rebecchi.
-
D.
Melanie Hancock
Melanie Hancock is known as the stepdaughter of acclaimed British actor John Thaw.
-
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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18235de508190ab9675d005870ff6 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.