Triple

T8617012
Position Surface form Disambiguated ID Type / Status
Subject Sture Allén E204063 entity
Predicate familyName P18 FINISHED
Object Allén
Allén is a Swedish surname most notably borne by linguist and former permanent secretary of the Swedish Academy, Sture Allén.
 E745544 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: Allén | Statement: [Sture Allén, familyName, Allén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allén
Context triple: [Sture Allén, familyName, Allén]
  • A. Alden
    Alden is the given name of American actor Alden Ehrenreich, known for roles in films such as "Hail, Caesar!" and "Solo: A Star Wars Story."
  • B. Albertson
    Albertson is a suburban hamlet on Long Island in Nassau County, New York, known primarily as a residential community within the greater New York metropolitan area.
  • C. Eliassen
    Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
  • D. Hannan
    Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
  • E. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • 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: Allén
Triple: [Sture Allén, familyName, Allén]
Generated description
Allén is a Swedish surname most notably borne by linguist and former permanent secretary of the Swedish Academy, Sture Allén.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allén
Target entity description: Allén is a Swedish surname most notably borne by linguist and former permanent secretary of the Swedish Academy, Sture Allén.
  • A. Alden
    Alden is the given name of American actor Alden Ehrenreich, known for roles in films such as "Hail, Caesar!" and "Solo: A Star Wars Story."
  • B. Albertson
    Albertson is a suburban hamlet on Long Island in Nassau County, New York, known primarily as a residential community within the greater New York metropolitan area.
  • C. Eliassen
    Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
  • D. Hannan
    Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
  • E. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4711c7748190af26ff5a78ef66a2 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea923ae148190a973ef8ad6ccac9a completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9d23cc88190b937e89b9aa2bd66 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaaed65a4819083b6a30baa2c0b97 completed April 2, 2026, 5:44 p.m.
Created at: March 30, 2026, 6:25 p.m.