Triple

T8895437
Position Surface form Disambiguated ID Type / Status
Subject Sin E211794 entity
Predicate alsoKnownAs P39 FINISHED
Object Suen
Suen is the Sumerian moon god, later known as Sin in Akkadian mythology, associated with the lunar cycle, wisdom, and divination.
 E765146 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: Suen | Statement: [Sin, alsoKnownAs, Suen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suen
Context triple: [Sin, alsoKnownAs, Suen]
  • A. Suinula
    Suinula is a locality in Finland historically noted as a site of significant events during the Finnish Civil War’s White Terror period.
  • B. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • C. Sonai
    Sonai is a prominent town in Assam, India, known as one of the key urban centers of Cachar district in the Barak Valley region.
  • D. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • E. Suh
    Suh is a Korean surname shared by various notable figures in fields such as art, politics, and academia.
  • 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: Suen
Triple: [Sin, alsoKnownAs, Suen]
Generated description
Suen is the Sumerian moon god, later known as Sin in Akkadian mythology, associated with the lunar cycle, wisdom, and divination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suen
Target entity description: Suen is the Sumerian moon god, later known as Sin in Akkadian mythology, associated with the lunar cycle, wisdom, and divination.
  • A. Suinula
    Suinula is a locality in Finland historically noted as a site of significant events during the Finnish Civil War’s White Terror period.
  • B. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • C. Sonai
    Sonai is a prominent town in Assam, India, known as one of the key urban centers of Cachar district in the Barak Valley region.
  • D. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • E. Suh
    Suh is a Korean surname shared by various notable figures in fields such as art, politics, and academia.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61be2c2081908f39cccdc149872d completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac02974881908a7e8d9cfa47e624 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfad512ad081908e046e9d95097071 completed April 3, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69cfadf4c1fc81908df957dc0a6308dc completed April 3, 2026, 12:09 p.m.
Created at: March 30, 2026, 6:54 p.m.