Triple

T10985825
Position Surface form Disambiguated ID Type / Status
Subject Eggenfelden E259626 entity
Predicate hasMayor P185 FINISHED
Object Martin Biber
Martin Biber is a German local politician who serves as the mayor of the town of Eggenfelden in Bavaria.
E898188 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: Martin Biber | Statement: [Eggenfelden, hasMayor, Martin Biber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Biber
Context triple: [Eggenfelden, hasMayor, Martin Biber]
  • A. Jan Rubes
    Jan Rubes was a Czech-Canadian bass opera singer and character actor known for his work in film, television, and on the stage.
  • B. Bedřich Hrozný
    Bedřich Hrozný was a Czech orientalist and linguist best known for deciphering the Hittite language and demonstrating its Indo-European character.
  • C. Jiří Orten
    Jiří Orten was a Czech Jewish poet known for his lyrical, introspective verse and his tragic early death during World War II.
  • D. Armand Bartos
    Armand Bartos was an American architect best known for co-designing Jerusalem’s Shrine of the Book, which houses the Dead Sea Scrolls.
  • E. Jan Bulis
    Jan Bulis is a Czech former professional ice hockey forward who played in the NHL and KHL and represented the Czech national team internationally.
  • 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: Martin Biber
Triple: [Eggenfelden, hasMayor, Martin Biber]
Generated description
Martin Biber is a German local politician who serves as the mayor of the town of Eggenfelden in Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin Biber
Target entity description: Martin Biber is a German local politician who serves as the mayor of the town of Eggenfelden in Bavaria.
  • A. Jan Rubes
    Jan Rubes was a Czech-Canadian bass opera singer and character actor known for his work in film, television, and on the stage.
  • B. Bedřich Hrozný
    Bedřich Hrozný was a Czech orientalist and linguist best known for deciphering the Hittite language and demonstrating its Indo-European character.
  • C. Jiří Orten
    Jiří Orten was a Czech Jewish poet known for his lyrical, introspective verse and his tragic early death during World War II.
  • D. Armand Bartos
    Armand Bartos was an American architect best known for co-designing Jerusalem’s Shrine of the Book, which houses the Dead Sea Scrolls.
  • E. Jan Bulis
    Jan Bulis is a Czech former professional ice hockey forward who played in the NHL and KHL and represented the Czech national team internationally.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b2e4a88190a81504eee77e2298 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344e9c66c81909163cea6aa9276e0 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.