Triple

T7783256
Position Surface form Disambiguated ID Type / Status
Subject Sten Carl Bielke E187175 entity
Predicate givenName P17 FINISHED
Object Sten
Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
E693437 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: Sten | Statement: [Sten Carl Bielke, givenName, Sten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sten
Context triple: [Sten Carl Bielke, givenName, Sten]
  • A. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • B. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • C. Stec
    Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
  • D. Stans
    Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
  • E. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • 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: Sten
Triple: [Sten Carl Bielke, givenName, Sten]
Generated description
Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sten
Target entity description: Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
  • A. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • B. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • C. Stec
    Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
  • D. Stans
    Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
  • E. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf1f9c648190ac2b06d0d54035ea completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5e400d881909d6cdeb7eaac3a59 completed March 30, 2026, 10:15 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:22 p.m.