Triple

T22370119
Position Surface form Disambiguated ID Type / Status
Subject Чайка E553016 entity
Predicate character P662 FINISHED
Object Shamrayev
Shamrayev is a minor but memorable character in Anton Chekhov’s play "The Seagull," serving as the estate’s boorish and obstinate manager.
 E1533053 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: Shamrayev | Statement: [Чайка, character, Shamrayev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shamrayev
Context triple: [Чайка, character, Shamrayev]
  • A. Kasimov
    Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
  • B. Sergiyev
    Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • C. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • D. Yuriev
    Yuriev is the historical name of the Ukrainian city now known as Bila Tserkva, an important regional center south of Kyiv.
  • E. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • 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: Shamrayev
Triple: [Чайка, character, Shamrayev]
Generated description
Shamrayev is a minor but memorable character in Anton Chekhov’s play "The Seagull," serving as the estate’s boorish and obstinate manager.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shamrayev
Target entity description: Shamrayev is a minor but memorable character in Anton Chekhov’s play "The Seagull," serving as the estate’s boorish and obstinate manager.
  • A. Kasimov
    Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
  • B. Sergiyev
    Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • C. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • D. Yuriev
    Yuriev is the historical name of the Ukrainian city now known as Bila Tserkva, an important regional center south of Kyiv.
  • E. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158032b748190ad36c7e3809304e9 completed April 29, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae06a3304819087a6f0f97d9b2d5a completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae1fc97fc8190a29ec44cdc293591 completed May 18, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae27a0cd88190aa869980829625a4 completed May 18, 2026, 9:57 a.m.
Created at: April 16, 2026, 8:44 p.m.