Triple
T10358341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeline Ashton |
E244061
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ernest Menville |
E183585
|
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: Ernest Menville | Statement: [Madeline Ashton, spouse, Ernest Menville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernest Menville Context triple: [Madeline Ashton, spouse, Ernest Menville]
-
A.
Ernest Menville
chosen
Ernest Menville is a beleaguered plastic surgeon and mortician caught between two vain, immortal rivals in the dark comedy film "Death Becomes Her."
-
B.
John Norville
John Norville is a screenwriter best known for co-writing the story for Disney's adventure film "Jungle Cruise."
-
C.
Donald Oenslager
Donald Oenslager was an influential American theatrical set designer and educator known for helping shape modern stage design on Broadway in the mid-20th century.
-
D.
Douglass Dumbrille
Douglass Dumbrille was a Canadian-born character actor best known for his prolific work in Hollywood films of the 1930s and 1940s, often portraying suave villains and authority figures.
-
E.
Guy Tawney
Guy Tawney is a person notable enough to be recognized as a bearer of the surname Tawney.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b02ae48190898f9f97ab19ce60 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:59 a.m.