Triple
T10280454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grigory Orlov |
E241085
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Orlov |
E830870
|
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: Orlov | Statement: [Grigory Orlov, familyName, Orlov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlov Context triple: [Grigory Orlov, familyName, Orlov]
-
A.
Orlov
chosen
Orlov is a ruthless and manipulative Russian intelligence officer who serves as the primary antagonist in the action thriller film "Salt."
-
B.
Orlovsky
Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
-
C.
Zubov
Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
-
D.
Shaposhnikov
Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
-
E.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a0c90c8190ad6ee479a32e5a95 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f82f16688190b1c6b80e424bd552 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:38 a.m.