Triple

T5957619
Position Surface form Disambiguated ID Type / Status
Subject Sy Bartlett E132555 entity
Predicate familyName P18 FINISHED
Object Baraniev
Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
 E558606 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: Baraniev | Statement: [Sy Bartlett, familyName, Baraniev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baraniev
Context triple: [Sy Bartlett, familyName, Baraniev]
  • A. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • B. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • C. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • D. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • E. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • 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: Baraniev
Triple: [Sy Bartlett, familyName, Baraniev]
Generated description
Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baraniev
Target entity description: Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
  • A. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • B. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • C. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • D. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • E. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c34ca881909a219eddf99348ab completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3dd99888190ac3eeef692a7d879 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0ed9c53d4819082c661cdd2d26612 completed March 23, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_69c0ee2ffbc88190a256b5cb8a98f382 completed March 23, 2026, 7:39 a.m.
Created at: March 22, 2026, 4:02 p.m.