Triple

T7165009
Position Surface form Disambiguated ID Type / Status
Subject Ernst Specker E167043 entity
Predicate familyName P18 FINISHED
Object Specker
Specker is a surname most notably associated with Ernst Specker, a Swiss mathematician known for his contributions to logic and the foundations of quantum mechanics.
E645527 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: Specker | Statement: [Ernst Specker, familyName, Specker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Specker
Context triple: [Ernst Specker, familyName, Specker]
  • A. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • B. Kiesler
    Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
  • C. Speiser
    Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
  • D. Borchers
    Borchers is a German surname associated with various notable individuals in fields such as aviation, academia, and the arts.
  • E. Szekeres
    Szekeres is a Hungarian surname most notably associated with mathematician George Szekeres, known for his contributions to combinatorics and number theory.
  • 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: Specker
Triple: [Ernst Specker, familyName, Specker]
Generated description
Specker is a surname most notably associated with Ernst Specker, a Swiss mathematician known for his contributions to logic and the foundations of quantum mechanics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Specker
Target entity description: Specker is a surname most notably associated with Ernst Specker, a Swiss mathematician known for his contributions to logic and the foundations of quantum mechanics.
  • A. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • B. Kiesler
    Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
  • C. Speiser
    Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
  • D. Borchers
    Borchers is a German surname associated with various notable individuals in fields such as aviation, academia, and the arts.
  • E. Szekeres
    Szekeres is a Hungarian surname most notably associated with mathematician George Szekeres, known for his contributions to combinatorics and number theory.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e832d2548190aacff0de80dbc268 completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adcc145c8190ba65831ed891a225 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae9111048190b9d68932b15aeab9 completed March 28, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69c7af44076481908d770dd92ed55277 completed March 28, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:47 p.m.