Triple

T4345384
Position Surface form Disambiguated ID Type / Status
Subject Sixten Sason E97886 entity
Predicate givenName P17 FINISHED
Object Sixten
Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
E434206 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: Sixten | Statement: [Sixten Sason, givenName, Sixten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sixten
Context triple: [Sixten Sason, givenName, Sixten]
  • A. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • B. Loen
    Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • C. Skiptvet
    Skiptvet is a rural municipality in Viken county, southeastern Norway, known for its agricultural landscape and small villages.
  • D. Arjeplog
    Arjeplog is a sparsely populated municipality in northern Sweden known for its vast lake landscapes, subarctic climate, and significance as a cultural area for the Sámi people.
  • E. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • 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: Sixten
Triple: [Sixten Sason, givenName, Sixten]
Generated description
Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sixten
Target entity description: Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
  • A. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • B. Loen
    Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • C. Skiptvet
    Skiptvet is a rural municipality in Viken county, southeastern Norway, known for its agricultural landscape and small villages.
  • D. Arjeplog
    Arjeplog is a sparsely populated municipality in northern Sweden known for its vast lake landscapes, subarctic climate, and significance as a cultural area for the Sámi people.
  • E. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518bec408190ba07643bbf7eb632 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba5d2488190b23a0358ffc994fb completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc3d81a08190b29b633009fab4ff completed March 14, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69b5e04f356c81909e3f6f2c865e0f99 completed March 14, 2026, 10:25 p.m.
Created at: March 12, 2026, 11:15 p.m.