Triple

T15492435
Position Surface form Disambiguated ID Type / Status
Subject Mauritz Stiller E378726 entity
Predicate givenName P17 FINISHED
Object Mauritz
Mauritz is a masculine given name of Germanic origin, commonly used in Scandinavian and European countries.
 E176784 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: Mauritz | Statement: [Mauritz Stiller, givenName, Mauritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mauritz
Context triple: [Mauritz Stiller, givenName, Mauritz]
  • A. Moritz
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • B. Hjalmar Lundbohm
    Hjalmar Lundbohm was a Swedish geologist and mining engineer best known as the first managing director of LKAB and a key figure in the development of the mining town of Kiruna.
  • C. Vilhelm
    Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
  • D. Pehr
    Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
  • E. Max Munk
    Max Munk was an influential aerospace engineer and aerodynamicist known for his pioneering work in wind tunnel research and airfoil design, which significantly advanced early aviation technology.
  • 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: Mauritz
Triple: [Mauritz Stiller, givenName, Mauritz]
Generated description
Mauritz is a masculine given name of Germanic origin, commonly used in Scandinavian and European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mauritz
Target entity description: Mauritz is a masculine given name of Germanic origin, commonly used in Scandinavian and European countries.
  • A. Moritz chosen
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • B. Hjalmar Lundbohm
    Hjalmar Lundbohm was a Swedish geologist and mining engineer best known as the first managing director of LKAB and a key figure in the development of the mining town of Kiruna.
  • C. Vilhelm
    Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
  • D. Pehr
    Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
  • E. Max Munk
    Max Munk was an influential aerospace engineer and aerodynamicist known for his pioneering work in wind tunnel research and airfoil design, which significantly advanced early aviation technology.
  • F. None of above.

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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff373558c88190983792d12956886e completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37c1b1e081909662b37eb5a2da1a completed May 9, 2026, 1:33 p.m.
Created at: April 10, 2026, 3:49 a.m.