Triple

T7386187
Position Surface form Disambiguated ID Type / Status
Subject Levin August von Bennigsen E170385 entity
Predicate givenName P17 FINISHED
Object Levin
Levin is a masculine given name of Germanic origin, historically borne by figures such as the Russian general Levin August von Bennigsen.
 E660813 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: Levin | Statement: [Levin August von Bennigsen, givenName, Levin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Levin
Context triple: [Levin August von Bennigsen, givenName, Levin]
  • A. Levin
    Levin is a surname of Jewish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • B. Levin
    Levin is a town in New Zealand’s North Island known as a service and retail hub for the surrounding agricultural Horowhenua district.
  • C. Lev
    Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
  • D. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • E. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • 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: Levin
Triple: [Levin August von Bennigsen, givenName, Levin]
Generated description
Levin is a masculine given name of Germanic origin, historically borne by figures such as the Russian general Levin August von Bennigsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Levin
Target entity description: Levin is a masculine given name of Germanic origin, historically borne by figures such as the Russian general Levin August von Bennigsen.
  • A. Levin
    Levin is a surname of Jewish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • B. Levin
    Levin is a town in New Zealand’s North Island known as a service and retail hub for the surrounding agricultural Horowhenua district.
  • C. Lev
    Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
  • D. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • E. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f117ec8190a97cbd0b35d5811a completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802e23714819094a1b31c82a27fee completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c8038127408190947cb7002ccc0dec completed March 28, 2026, 4:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8040a40088190b37192429678fd3e completed March 28, 2026, 4:38 p.m.
Created at: March 27, 2026, 3:08 p.m.