Triple

T8855183
Position Surface form Disambiguated ID Type / Status
Subject Alexander Sokurov E210738 entity
Predicate notableWork P4 FINISHED
Object The Sun
The Sun is a 2005 historical drama film by Russian director Alexander Sokurov that portrays Emperor Hirohito in the final days of World War II.
 E762552 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: The Sun | Statement: [Alexander Sokurov, notableWork, The Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Sun
Context triple: [Alexander Sokurov, notableWork, The Sun]
  • A. The Sun
    The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
  • B. The Sun
    The Sun is a vibrant, monumental painting by Norwegian artist Edvard Munch that depicts a radiant, dominating sun over a coastal landscape, symbolizing life, energy, and renewal.
  • C. Sun
    The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
  • D. Sun
    Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
  • E. SUN
    SUN is the National Rail station code for Sunderland railway station in Tyne and Wear, England.
  • 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: The Sun
Triple: [Alexander Sokurov, notableWork, The Sun]
Generated description
The Sun is a 2005 historical drama film by Russian director Alexander Sokurov that portrays Emperor Hirohito in the final days of World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Sun
Target entity description: The Sun is a 2005 historical drama film by Russian director Alexander Sokurov that portrays Emperor Hirohito in the final days of World War II.
  • A. The Sun
    The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
  • B. The Sun
    The Sun is a vibrant, monumental painting by Norwegian artist Edvard Munch that depicts a radiant, dominating sun over a coastal landscape, symbolizing life, energy, and renewal.
  • C. Sun
    The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
  • D. Sun
    Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
  • E. SUN
    SUN is the National Rail station code for Sunderland railway station in Tyne and Wear, England.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c7f51881909c847989f31f203a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09e6d388190ba8f5d8516b43bc4 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa246ade0819097fe80a77f32592b completed April 3, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_69cfa2c4833c8190b67c4545af056292 completed April 3, 2026, 11:21 a.m.
Created at: March 30, 2026, 6:49 p.m.