Triple

T18295275
Position Surface form Disambiguated ID Type / Status
Subject Hemming of Turku E438214 entity
Predicate givenName P17 FINISHED
Object Hemming
Hemming was a 14th-century Bishop of Turku in medieval Finland, known for his ecclesiastical reforms and later veneration as a blessed figure in the Catholic Church.
E1316557 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: Hemming | Statement: [Hemming of Turku, givenName, Hemming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hemming
Context triple: [Hemming of Turku, givenName, Hemming]
  • A. Blexen
    Blexen is a locality in northern Germany, historically notable as the place where the missionary bishop Saint Willehad died.
  • B. Else Bremer
    Else Bremer was the wife of German Lutheran pastor and anti-Nazi theologian Martin Niemöller.
  • C. Hamill
    Hamill is the surname of Mark Hamill, the American actor best known for portraying Luke Skywalker in the Star Wars film series.
  • D. Heman
    Heman is a masculine given name most notably borne by Heman Marion Sweatt, the civil rights figure at the center of the landmark U.S. Supreme Court case Sweatt v. Painter.
  • E. Philip Homer
    Philip Homer is a notable individual who bears the surname Homer, recognized among people distinguished enough to be documented for that family name.
  • 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: Hemming
Triple: [Hemming of Turku, givenName, Hemming]
Generated description
Hemming was a 14th-century Bishop of Turku in medieval Finland, known for his ecclesiastical reforms and later veneration as a blessed figure in the Catholic Church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hemming
Target entity description: Hemming was a 14th-century Bishop of Turku in medieval Finland, known for his ecclesiastical reforms and later veneration as a blessed figure in the Catholic Church.
  • A. Blexen
    Blexen is a locality in northern Germany, historically notable as the place where the missionary bishop Saint Willehad died.
  • B. Else Bremer
    Else Bremer was the wife of German Lutheran pastor and anti-Nazi theologian Martin Niemöller.
  • C. Hamill
    Hamill is the surname of Mark Hamill, the American actor best known for portraying Luke Skywalker in the Star Wars film series.
  • D. Heman
    Heman is a masculine given name most notably borne by Heman Marion Sweatt, the civil rights figure at the center of the landmark U.S. Supreme Court case Sweatt v. Painter.
  • E. Philip Homer
    Philip Homer is a notable individual who bears the surname Homer, recognized among people distinguished enough to be documented for that family name.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017783748190905ce4eeadd25841 completed April 19, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb5a98808190ae1bbb9a4f11b96d completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bc1a53448190b97e10027fd1347f completed May 12, 2026, 11:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03bca3286c819091db45df95d855e4 completed May 12, 2026, 11:49 p.m.
Created at: April 10, 2026, 10:35 a.m.