Triple

T4009059
Position Surface form Disambiguated ID Type / Status
Subject Theodor Kaluza E90598 entity
Predicate familyName P18 FINISHED
Object Kaluza
Kaluza is a surname most notably associated with Theodor Kaluza, the German physicist who proposed a unifying five-dimensional theory of gravity and electromagnetism.
 E406653 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: Kaluza | Statement: [Theodor Kaluza, familyName, Kaluza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaluza
Context triple: [Theodor Kaluza, familyName, Kaluza]
  • A. Infeld
    Infeld is the surname of Leopold Infeld, a notable Polish theoretical physicist who collaborated with Albert Einstein on the theory of relativity.
  • B. Wadska
    Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
  • C. Marulan
    Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
  • D. Kasner
    Kasner is the birth surname of former German chancellor Angela Merkel, reflecting her family name before marriage.
  • E. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • 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: Kaluza
Triple: [Theodor Kaluza, familyName, Kaluza]
Generated description
Kaluza is a surname most notably associated with Theodor Kaluza, the German physicist who proposed a unifying five-dimensional theory of gravity and electromagnetism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaluza
Target entity description: Kaluza is a surname most notably associated with Theodor Kaluza, the German physicist who proposed a unifying five-dimensional theory of gravity and electromagnetism.
  • A. Infeld
    Infeld is the surname of Leopold Infeld, a notable Polish theoretical physicist who collaborated with Albert Einstein on the theory of relativity.
  • B. Wadska
    Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
  • C. Marulan
    Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
  • D. Kasner
    Kasner is the birth surname of former German chancellor Angela Merkel, reflecting her family name before marriage.
  • E. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa8579288190940487ad07e38de0 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c6ae0ec819099c229a4cfe926f2 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d41fa008190972411203c8a07f2 completed March 14, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69b54de8dc708190b83978b15aed2e13 completed March 14, 2026, noon
Created at: March 9, 2026, 3:34 p.m.