Triple
T12065409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judy |
E287281
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Melanie Oliver |
E252124
|
NE FINISHED |
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: [Judy, editedBy, Melanie Oliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Oliver Context triple: [Judy, 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 Nicholls-King
Melanie Nicholls-King is a Canadian actress known for her work in television and film, including roles on series such as "The Wire" and "Degrassi: The Next Generation."
-
C.
Melanie Hancock
Melanie Hancock is known as the stepdaughter of acclaimed British actor John Thaw.
-
D.
Danielle Holley-Walker
Danielle Holley-Walker is an American legal scholar and academic leader known for her work on civil rights, education law, and diversity in legal education.
-
E.
Kimberlea Cloughley
Kimberlea Cloughley is an American photographer best known for her marriage to actor Tommy Lee Jones.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee0597c81909ad679a1ddece887 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:48 p.m.