Triple

T8941766
Position Surface form Disambiguated ID Type / Status
Subject Alexander Dovzhenko E212917 entity
Predicate notableWork P4 FINISHED
Object Michurin
Michurin is a 1949 Soviet biographical film directed by Alexander Dovzhenko about the life and work of Russian plant breeder Ivan Michurin.
 E849191 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: Michurin | Statement: [Alexander Dovzhenko, notableWork, Michurin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michurin
Context triple: [Alexander Dovzhenko, notableWork, Michurin]
  • A. Nanzan
    Nanzan was one of the three rival polities on Okinawa Island during the Sanzan period, which was eventually unified into the Ryukyu Kingdom.
  • B. Higashikurume
    Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
  • C. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • D. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • E. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • 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: Michurin
Triple: [Alexander Dovzhenko, notableWork, Michurin]
Generated description
Michurin is a 1949 Soviet biographical film directed by Alexander Dovzhenko about the life and work of Russian plant breeder Ivan Michurin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michurin
Target entity description: Michurin is a 1949 Soviet biographical film directed by Alexander Dovzhenko about the life and work of Russian plant breeder Ivan Michurin.
  • A. Nanzan
    Nanzan was one of the three rival polities on Okinawa Island during the Sanzan period, which was eventually unified into the Ryukyu Kingdom.
  • B. Higashikurume
    Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
  • C. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • D. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • E. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b9c14c8190b80c3df0cdba2747 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d5d348f904819091186c0496d5eabb completed April 8, 2026, 4:02 a.m.
NEDg Description generation batch_69d5d5842ae08190ba38b5d8e54a8a50 completed April 8, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_69d5d5a636e08190b82264f269244d44 completed April 8, 2026, 4:12 a.m.
Created at: March 30, 2026, 6:58 p.m.