Triple

T11135572
Position Surface form Disambiguated ID Type / Status
Subject Vilshofen an der Donau E263398 entity
Predicate mayor P185 FINISHED
Object Florian Gams
Florian Gams is a German local politician who serves as the mayor of the Bavarian town Vilshofen an der Donau.
E908009 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: Florian Gams | Statement: [Vilshofen an der Donau, mayor, Florian Gams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florian Gams
Context triple: [Vilshofen an der Donau, mayor, Florian Gams]
  • A. Florian Klaempfl
    Florian Klaempfl is a software developer best known as the original creator and lead architect of the Free Pascal compiler.
  • B. Stefan Grube
    Stefan Grube is a film editor best known for his work on the thriller "10 Cloverfield Lane."
  • C. Stefan Grube
    Stefan Grube is an editor known for his work on the film "Tully."
  • D. Florian Schönharting
    Florian Schönharting is a Danish biotech entrepreneur and investor best known for co-founding the antibody therapeutics company Genmab.
  • E. Florian Hoffmeister
    Florian Hoffmeister is a German cinematographer known for his atmospheric, meticulously composed visual style in both film and television, including acclaimed work on projects like "Tár."
  • 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: Florian Gams
Triple: [Vilshofen an der Donau, mayor, Florian Gams]
Generated description
Florian Gams is a German local politician who serves as the mayor of the Bavarian town Vilshofen an der Donau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Florian Gams
Target entity description: Florian Gams is a German local politician who serves as the mayor of the Bavarian town Vilshofen an der Donau.
  • A. Florian Klaempfl
    Florian Klaempfl is a software developer best known as the original creator and lead architect of the Free Pascal compiler.
  • B. Stefan Grube
    Stefan Grube is a film editor best known for his work on the thriller "10 Cloverfield Lane."
  • C. Stefan Grube
    Stefan Grube is an editor known for his work on the film "Tully."
  • D. Florian Schönharting
    Florian Schönharting is a Danish biotech entrepreneur and investor best known for co-founding the antibody therapeutics company Genmab.
  • E. Florian Hoffmeister
    Florian Hoffmeister is a German cinematographer known for his atmospheric, meticulously composed visual style in both film and television, including acclaimed work on projects like "Tár."
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.