Triple

T12271201
Position Surface form Disambiguated ID Type / Status
Subject 2867 Šteins E292473 entity
Predicate discoverer P412 FINISHED
Object Nikolai Chernykh
Nikolai Chernykh was a Soviet astronomer known for his prolific discovery of minor planets and comets.
E983213 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: Nikolai Chernykh | Statement: [2867 Šteins, discoverer, Nikolai Chernykh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolai Chernykh
Context triple: [2867 Šteins, discoverer, Nikolai Chernykh]
  • A. Valentin Chernykh
    Valentin Chernykh was a Soviet and Russian screenwriter best known for his work on acclaimed films of the late Soviet era.
  • B. Igor Chernykh
    Igor Chernykh was a Soviet cinematographer best known for his work on classic Russian comedies and popular films of the 1960s and 1970s.
  • C. Klim Ivanovich Churyumov
    Klim Ivanovich Churyumov was a Ukrainian astronomer best known as the co-discoverer of the periodic comet 67P/Churyumov–Gerasimenko, the target of ESA’s Rosetta mission.
  • D. Eugene Izotov
    Eugene Izotov is a renowned classical oboist recognized as one of the leading orchestral and solo performers of his generation.
  • E. Sergei Gaposchkin
    Sergei Gaposchkin was a Russian-American astronomer known for his collaborative work with his wife Cecilia Payne-Gaposchkin on variable stars and stellar photometry.
  • 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: Nikolai Chernykh
Triple: [2867 Šteins, discoverer, Nikolai Chernykh]
Generated description
Nikolai Chernykh was a Soviet astronomer known for his prolific discovery of minor planets and comets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nikolai Chernykh
Target entity description: Nikolai Chernykh was a Soviet astronomer known for his prolific discovery of minor planets and comets.
  • A. Valentin Chernykh
    Valentin Chernykh was a Soviet and Russian screenwriter best known for his work on acclaimed films of the late Soviet era.
  • B. Igor Chernykh
    Igor Chernykh was a Soviet cinematographer best known for his work on classic Russian comedies and popular films of the 1960s and 1970s.
  • C. Klim Ivanovich Churyumov
    Klim Ivanovich Churyumov was a Ukrainian astronomer best known as the co-discoverer of the periodic comet 67P/Churyumov–Gerasimenko, the target of ESA’s Rosetta mission.
  • D. Eugene Izotov
    Eugene Izotov is a renowned classical oboist recognized as one of the leading orchestral and solo performers of his generation.
  • E. Sergei Gaposchkin
    Sergei Gaposchkin was a Russian-American astronomer known for his collaborative work with his wife Cecilia Payne-Gaposchkin on variable stars and stellar photometry.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cee7158819093fff74db6867896 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63eec11688190a317f9e692b23ca5 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6405f9f6481909bcc3b2e3deeae7e completed May 2, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_69f6416ba1bc8190a772bffe4d83ec15 completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:52 p.m.