Triple
T10036712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larisa Shepitko |
E205188
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Larisa |
E250192
|
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: Larisa | Statement: [Larisa Shepitko, givenName, Larisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larisa Context triple: [Larisa Shepitko, givenName, Larisa]
-
A.
Larisa
chosen
Larisa is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
B.
Larisa
Larisa was an ancient Greek city located in the region of Aeolis in western Asia Minor.
-
C.
Larissa
Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
-
D.
Larissa
Larissa is one of Neptune’s small, irregularly shaped inner moons, discovered in 1981 and composed primarily of dark, icy material.
-
E.
Romeyka
Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4bb3408190ac5dae4718ef7cad |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a2cbdd08190b1ef7602ad160114 |
completed | April 5, 2026, 5:21 p.m. |
Created at: March 30, 2026, 8:55 p.m.