Triple

T20758979
Position Surface form Disambiguated ID Type / Status
Subject John Jacob Bausch E510922 entity
Predicate familyName P18 FINISHED
Object Bausch
Bausch is a surname most prominently associated with John Jacob Bausch, co-founder of the optical products company that became Bausch & Lomb.
E1447972 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: Bausch | Statement: [John Jacob Bausch, familyName, Bausch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bausch
Context triple: [John Jacob Bausch, familyName, Bausch]
  • A. Bayer Sager
    Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
  • B. Freudenberg
    Freudenberg is a small historic town in the Siegerland region of North Rhine-Westphalia, Germany, known for its well-preserved half-timbered old town.
  • C. Behr-Schnabel
    Behr-Schnabel is the hyphenated surname associated with the German contralto and renowned Lieder singer Therese Behr-Schnabel.
  • D. E.S. Mittler & Sohn
    E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
  • E. Buna-Werke
    Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
  • 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: Bausch
Triple: [John Jacob Bausch, familyName, Bausch]
Generated description
Bausch is a surname most prominently associated with John Jacob Bausch, co-founder of the optical products company that became Bausch & Lomb.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bausch
Target entity description: Bausch is a surname most prominently associated with John Jacob Bausch, co-founder of the optical products company that became Bausch & Lomb.
  • A. Bayer Sager
    Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
  • B. Freudenberg
    Freudenberg is a small historic town in the Siegerland region of North Rhine-Westphalia, Germany, known for its well-preserved half-timbered old town.
  • C. Behr-Schnabel
    Behr-Schnabel is the hyphenated surname associated with the German contralto and renowned Lieder singer Therese Behr-Schnabel.
  • D. E.S. Mittler & Sohn
    E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
  • E. Buna-Werke
    Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24751688190829f9d836abfb606 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e84cc14c8190a3a90116a657af27 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e90ba0188190a4e744a79962bf2e completed May 16, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_6a08e9799dbc8190b91f7c0ba0e1cfaf completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 12:35 p.m.