Triple

T9596666
Position Surface form Disambiguated ID Type / Status
Subject Theodor Escherich E231546 entity
Predicate familyName P18 FINISHED
Object Escherich
Escherich is a German surname most notably associated with pediatrician and bacteriologist Theodor Escherich, after whom the bacterium Escherichia coli (E. coli) is named.
 E808856 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: Escherich | Statement: [Theodor Escherich, familyName, Escherich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Escherich
Context triple: [Theodor Escherich, familyName, Escherich]
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Strassmann
    Strassmann is a German surname most notably associated with Fritz Strassmann, the chemist who co-discovered nuclear fission.
  • C. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • D. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • E. Flemming
    Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
  • 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: Escherich
Triple: [Theodor Escherich, familyName, Escherich]
Generated description
Escherich is a German surname most notably associated with pediatrician and bacteriologist Theodor Escherich, after whom the bacterium Escherichia coli (E. coli) is named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Escherich
Target entity description: Escherich is a German surname most notably associated with pediatrician and bacteriologist Theodor Escherich, after whom the bacterium Escherichia coli (E. coli) is named.
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Strassmann
    Strassmann is a German surname most notably associated with Fritz Strassmann, the chemist who co-discovered nuclear fission.
  • C. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • D. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • E. Flemming
    Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a34f5408190ba72ba8311eb259c completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1619f4170819092ae90b2896b0855 completed April 4, 2026, 7:08 p.m.
NEDg Description generation batch_69d163c1abfc8190baae07681ea13104 completed April 4, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69d16476b9188190ab28efb0433c99b0 completed April 4, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:07 p.m.