Triple
T8072006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khokhlova |
E188395
|
entity |
| Predicate | hasMasculineForm |
P15475
|
FINISHED |
| Object | Khokhlov |
E709709
|
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: Khokhlov | Statement: [Khokhlova, hasMasculineForm, Khokhlov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khokhlov Context triple: [Khokhlova, hasMasculineForm, Khokhlov]
-
A.
Khokhlov
chosen
Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
-
B.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
C.
Yuryatin
Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
-
D.
Vyazemsky
Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
-
E.
Kamenskiy
Kamenskiy is a Slavic surname, commonly transliterated from Russian or related languages, borne by various individuals across Eastern Europe and the former Soviet Union.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4046a2148190a584e33bcf53cf22 |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93e568388190a518baa0badefea4 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:27 p.m.