Triple
T152669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Tolstoy |
E3464
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lev
Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
|
E36954
|
NE FINISHED |
How this triple was built (4 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: Lev | Statement: [Leo Tolstoy, givenName, Lev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lev Context triple: [Leo Tolstoy, givenName, Lev]
-
A.
Mikhail
Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
-
B.
Andrei
Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
-
C.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Emanuel
Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lev Triple: [Leo Tolstoy, givenName, Lev]
Generated description
Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lev Target entity description: Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
-
A.
Mikhail
Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
-
B.
Andrei
Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
-
C.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Emanuel
Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
- F. None of above. chosen
Provenance (5 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25810799c8190a515a39169126e46 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d0168508190b6f6766a75dd0e34 |
completed | March 1, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69a39d5e80fc81908fed0aa92326bbc9 |
completed | March 1, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a39dbbe1d4819084f10b6fe31d0f12 |
completed | March 1, 2026, 2 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.