Triple
T12436583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pride |
E297158
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Melanie Ann 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 Ann Oliver | Statement: [Pride, editedBy, Melanie Ann Oliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Ann Oliver Context triple: [Pride, 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 Hancock
Melanie Hancock is known as the stepdaughter of acclaimed British actor John Thaw.
-
C.
Melanie Walters
Melanie Walters is a Welsh actress best known for playing Gwen West, Stacey’s mother, in the hit BBC sitcom "Gavin & Stacey."
-
D.
Melanie Hamilton
Melanie Hamilton is a gentle, selfless Southern woman in Margaret Mitchell's novel and the film "Gone with the Wind," known for her unwavering kindness, loyalty, and moral strength.
-
E.
Lisa O'Brien
Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556686448190ad408b826ebc01c0 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:55 p.m.