Triple

T767439
Position Surface form Disambiguated ID Type / Status
Subject Emil Theodor Kocher E16206 entity
Predicate familyName P18 FINISHED
Object Kocher
Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
E92688 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: Kocher | Statement: [Emil Theodor Kocher, familyName, Kocher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kocher
Context triple: [Emil Theodor Kocher, familyName, Kocher]
  • A. Koch
    Koch is a German surname most famously associated with Robert Koch, the pioneering microbiologist who discovered the causative agents of tuberculosis and cholera.
  • B. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • E. Huber
    Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
  • 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: Kocher
Triple: [Emil Theodor Kocher, familyName, Kocher]
Generated description
Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kocher
Target entity description: Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
  • A. Koch
    Koch is a German surname most famously associated with Robert Koch, the pioneering microbiologist who discovered the causative agents of tuberculosis and cholera.
  • B. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • E. Huber
    Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6a0fee08190bf365d14c007e008 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733773588190885d03d714e21b37 completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a673e52db88190b20f133df15cba29 completed March 3, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69a674487c8c8190bff97a51587787ef completed March 3, 2026, 5:40 a.m.
Created at: March 1, 2026, 7:37 p.m.