Triple
T15043302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicole Marie Nugent |
E379157
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Marie |
E27948
|
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: Marie | Statement: [Nicole Marie Nugent, middleName, Marie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Context triple: [Nicole Marie Nugent, middleName, 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
chosen
Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
-
C.
Marie
Marie is a supporting character in the psychological thriller film "The Machinist," serving as a compassionate presence in the troubled life of the insomniac protagonist.
-
D.
Marie
Marie is the deceased beloved of the protagonist in Erich Wolfgang Korngold’s opera "Die tote Stadt," whose memory and spectral presence drive the work’s psychological drama.
-
E.
Marie
Marie is one of the two central characters in the film "Malcolm & Marie," serving as a key figure in its intimate relationship drama.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82f73208190bb55fa6b20074e27 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d6ddbc81908b010a54ee728dfe |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 3 a.m.