Triple

T4666517
Position Surface form Disambiguated ID Type / Status
Subject Naomi Novik E102859 entity
Predicate familyName P18 FINISHED
Object Novik
Novik is a surname most prominently associated with Naomi Novik, the American fantasy author known for works such as the Temeraire series and "Uprooted."
E462366 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: Novik | Statement: [Naomi Novik, familyName, Novik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novik
Context triple: [Naomi Novik, familyName, Novik]
  • A. Kurskaya
    Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
  • B. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • C. Sverdlov
    Sverdlov is a Russian surname most notably associated with Yakov Sverdlov, a prominent Bolshevik leader during the early Soviet period.
  • D. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • E. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • 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: Novik
Triple: [Naomi Novik, familyName, Novik]
Generated description
Novik is a surname most prominently associated with Naomi Novik, the American fantasy author known for works such as the Temeraire series and "Uprooted."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Novik
Target entity description: Novik is a surname most prominently associated with Naomi Novik, the American fantasy author known for works such as the Temeraire series and "Uprooted."
  • A. Kurskaya
    Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
  • B. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • C. Sverdlov
    Sverdlov is a Russian surname most notably associated with Yakov Sverdlov, a prominent Bolshevik leader during the early Soviet period.
  • D. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • E. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0384a1488190a59dc08766f526dd completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be05269de48190849a76b5fbd24b4a completed March 21, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69be05d277248190bf675151eca07247 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:15 p.m.