Triple
T12302397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faline |
E293262
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Mena |
unclear NED1
|
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: Mena | Statement: [Faline, relative, Mena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mena Context triple: [Faline, relative, Mena]
-
A.
Mena
Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
-
B.
Mena
Mena is a masculine given name of Arabic origin, commonly used in Middle Eastern and North African cultures.
-
C.
Nedra
"Nedra" is a romantic adventure novel by American author George Barr McCutcheon, best known for its shipwreck narrative and themes of love and survival.
-
D.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
E.
Mia Ausa
Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edb59908190bcef9d0cdc11081f |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7d757881908ac6af2b70a6dafe |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.