Triple
T3292052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Danish Girl |
E69123
|
entity |
| Predicate | editor |
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: [The Danish Girl, editor, Melanie Ann Oliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanie Ann Oliver Context triple: [The Danish Girl, editor, 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 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.
-
C.
Tahnee Welch
Tahnee Welch is an American actress and model best known for her role in the science-fiction film "Cocoon" and for being the daughter of actress Raquel Welch.
-
D.
Melanie Sorich
Melanie Sorich is the wife of American character actor Clint Howard.
-
E.
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.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07379dc8190b7bb409bcf42bdd6 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b325033aa88190a6b54b767f83fa24 |
completed | March 12, 2026, 8:41 p.m. |
Created at: March 8, 2026, 3:10 p.m.