Triple
T14613331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Describe the Night |
E343013
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Vova |
E305738
|
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: Vova | Statement: [Describe the Night, hasCharacter, Vova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vova Context triple: [Describe the Night, hasCharacter, Vova]
-
A.
Vova
chosen
Vova is a common Russian diminutive form of the male given name Vladimir.
-
B.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Vitaly
Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
D.
Timofei
Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
-
E.
Gavril
Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb78c0308190908ba791fd8dc40e |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:25 a.m.