Triple

T1413447
Position Surface form Disambiguated ID Type / Status
Subject Ueli Maurer E31855 entity
Predicate familyName P18 FINISHED
Object Maurer
Maurer is a German-language surname common in Switzerland, Germany, and Austria, borne by various notable figures in politics, sports, and the arts.
 E162119 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: Maurer | Statement: [Ueli Maurer, familyName, Maurer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maurer
Context triple: [Ueli Maurer, familyName, Maurer]
  • A. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • B. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • C. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • D. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • E. Mayer
    Mayer is a common German-origin surname borne by numerous notable individuals across fields such as music, science, and politics.
  • 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: Maurer
Triple: [Ueli Maurer, familyName, Maurer]
Generated description
Maurer is a German-language surname common in Switzerland, Germany, and Austria, borne by various notable figures in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maurer
Target entity description: Maurer is a German-language surname common in Switzerland, Germany, and Austria, borne by various notable figures in politics, sports, and the arts.
  • A. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • B. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • C. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • D. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • E. Mayer
    Mayer is a common German-origin surname borne by numerous notable individuals across fields such as music, science, and politics.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e476f08190aed1576805c62462 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace57ec2d88190b06d0f20e3b52462 completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace5fc91d081909b33009d06a38616 completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace6c10f54819089a4afcf49ef894f completed March 8, 2026, 3:02 a.m.
Created at: March 1, 2026, 7:59 p.m.