Triple
T20651790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrannosaur |
E507512
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Melanie 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 Oliver | Statement: [Tyrannosaur, editedBy, Melanie Oliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Oliver Context triple: [Tyrannosaur, editedBy, Melanie 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 Andrews
Melanie Andrews is a songwriter best known for her work on the song "When I Think of You."
-
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 Graham
Melanie Graham is a film and television producer known for her work on the project "Best Seller."
-
E.
Rachael Gillett
Rachael Gillett is a journalist and editor known for her work in business, technology, and workplace culture media.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af21e87c8190835bf2b2ef195626 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.