Triple
T18263344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geraldine Hughes |
E437417
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | Marie |
—
|
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: Marie | Statement: [Geraldine Hughes, role, Marie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Context triple: [Geraldine Hughes, role, Marie]
-
A.
Marie
"Marie" is a 1985 biographical drama film directed by Roger Donaldson, depicting the true story of whistleblower Marie Ragghianti’s fight against political corruption in Tennessee.
-
B.
Marie
Marie is the young protagonist of Alexandre Dumas’s fairy-tale novella "Histoire d’un casse-noisette," an adaptation of the Nutcracker story.
-
C.
Marie
Marie is the central protagonist of the romantic drama film "Passion of Mind," whose life is split between two contrasting realities that blur the line between dream and truth.
-
D.
Marie
chosen
Marie is one of the two central characters in the film "Malcolm & Marie," serving as a key figure in its intimate relationship drama.
-
E.
Marie
Marie is an individual known primarily as the spouse of Jess.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff77882c81909774aefc57ccca3e |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.