Triple
T15013042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petro Shelest |
E377886
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Petro |
E75297
|
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: Petro | Statement: [Petro Shelest, givenName, Petro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petro Context triple: [Petro Shelest, givenName, Petro]
-
A.
Petro
chosen
Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
-
B.
Petro lwa
Petro lwa are a fiery, aggressive family of spirits in Haitian Vodou associated with power, protection, and revolutionary energy.
-
C.
Petry
Petry is a surname most notably associated with Ann Petry, an influential American novelist and short story writer known for exploring African American life and social issues.
-
D.
Petrov
Petrov is an alias or alternate name used by Peter P. Peters.
-
E.
Petrovich
Petrovich is a Russian patronymic meaning "son of Pyotr (Peter)," commonly used as a middle name in Russian naming conventions.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7613cec8190ac25e3f68c5d0edf |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96aa3c888190a65e7b3c3b130131 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.