Triple

T7650931
Position Surface form Disambiguated ID Type / Status
Subject Sune Bergström E173248 entity
Predicate givenName P17 FINISHED
Object Sune
Sune is a Scandinavian masculine given name, particularly common in Sweden and Denmark.
 E679636 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: Sune | Statement: [Sune Bergström, givenName, Sune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sune
Context triple: [Sune Bergström, givenName, Sune]
  • A. Oden
    Oden is a surname most notably associated with J. Tinsley Oden, a prominent American engineer and mathematician known for his contributions to computational mechanics.
  • B. Unryu
    Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
  • C. Yudachi
    Yudachi was an Imperial Japanese Navy destroyer of the Shiratsuyu class that served in World War II, notably participating in several major Pacific naval engagements before being sunk in 1942.
  • D. Lohrasp
    Lohrasp is a legendary king in Persian mythology, known from the Shahnameh as a ruler of Iran who followed the heroic reigns of earlier Kayanian monarchs.
  • E. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • 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: Sune
Triple: [Sune Bergström, givenName, Sune]
Generated description
Sune is a Scandinavian masculine given name, particularly common in Sweden and Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sune
Target entity description: Sune is a Scandinavian masculine given name, particularly common in Sweden and Denmark.
  • A. Oden
    Oden is a surname most notably associated with J. Tinsley Oden, a prominent American engineer and mathematician known for his contributions to computational mechanics.
  • B. Unryu
    Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
  • C. Yudachi
    Yudachi was an Imperial Japanese Navy destroyer of the Shiratsuyu class that served in World War II, notably participating in several major Pacific naval engagements before being sunk in 1942.
  • D. Lohrasp
    Lohrasp is a legendary king in Persian mythology, known from the Shahnameh as a ruler of Iran who followed the heroic reigns of earlier Kayanian monarchs.
  • E. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70175e4b88190bc40c839a42180d4 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ae293148190a30ef03a4a594fe6 completed March 29, 2026, 3:22 a.m.
NEDg Description generation batch_69c89d2e42fc81908b1ddeb0375b47c8 completed March 29, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69c89d9255e08190b248f0c3fc858bc5 completed March 29, 2026, 3:33 a.m.
Created at: March 27, 2026, 3:58 p.m.