Triple
T19507586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malvina Milder Reynolds |
E488064
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Malvina |
—
|
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: Malvina | Statement: [Malvina Milder Reynolds, givenName, Malvina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvina Context triple: [Malvina Milder Reynolds, givenName, Malvina]
-
A.
Malvina
chosen
Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
-
B.
Masha
Masha is a town in southwestern Ethiopia that serves as an administrative and commercial center in the Sheka Zone.
-
C.
Masha
Masha is a diminutive and affectionate Russian form of the given name Mary (Maria).
-
D.
Marichka
Marichka is a key supporting character in the dystopian film "Children of Men," known for helping protect the first pregnant woman in years.
-
E.
Babooshka
"Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635130e708190bb3d70e1abbade2a |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.