Triple
T20740830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvette Marie Stevens |
E510434
|
entity |
| Predicate | hasMiddleName |
P143
|
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: [Yvette Marie Stevens, hasMiddleName, Marie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Context triple: [Yvette Marie Stevens, hasMiddleName, Marie]
-
A.
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.
-
B.
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.
-
C.
Marie
"Marie" is an adventure novel by H. Rider Haggard that follows the dramatic frontier life and romantic struggles of English settler Allan Quatermain in 19th-century South Africa.
-
D.
Marie
Marie is a character in the play and film "Come Back, Little Sheba," typically portrayed as a young, attractive boarder whose presence stirs emotional tension in the household.
-
E.
Marie
chosen
Marie is the middle name of Reilly Marie Anspaugh.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:32 p.m.