Triple

T22343922
Position Surface form Disambiguated ID Type / Status
Subject CIL E552342 entity
Predicate keyPerson P256 FINISHED
Object Emil Hübner
Emil Hübner was a 19th-century German classical philologist and epigrapher known for his influential work on Latin inscriptions and Roman antiquities.
E1577328 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: Emil Hübner | Statement: [CIL, keyPerson, Emil Hübner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emil Hübner
Context triple: [CIL, keyPerson, Emil Hübner]
  • A. Rudolf Kaempfe
    Rudolf Kaempfe was a German Wehrmacht general during World War II who held several high-ranking command positions on the Eastern Front.
  • B. Ernst Hartert
    Ernst Hartert was a German ornithologist and curator at the Rothschild Museum in Tring, known for his extensive work in bird taxonomy and species descriptions.
  • C. Ferdinand Reyher
    Ferdinand Reyher was an American writer and screenwriter active in the early 20th century, known for his work in both literature and Hollywood cinema.
  • D. Friedrich Krafft
    Friedrich Krafft was a German chemist known for his work in organic chemistry and for the Krafft point concept related to the solubility of surfactants.
  • E. Friedrich Kühn
    Friedrich Kühn was a German Wehrmacht general and armored warfare commander 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: Emil Hübner
Triple: [CIL, keyPerson, Emil Hübner]
Generated description
Emil Hübner was a 19th-century German classical philologist and epigrapher known for his influential work on Latin inscriptions and Roman antiquities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emil Hübner
Target entity description: Emil Hübner was a 19th-century German classical philologist and epigrapher known for his influential work on Latin inscriptions and Roman antiquities.
  • A. Rudolf Kaempfe
    Rudolf Kaempfe was a German Wehrmacht general during World War II who held several high-ranking command positions on the Eastern Front.
  • B. Ernst Hartert
    Ernst Hartert was a German ornithologist and curator at the Rothschild Museum in Tring, known for his extensive work in bird taxonomy and species descriptions.
  • C. Ferdinand Reyher
    Ferdinand Reyher was an American writer and screenwriter active in the early 20th century, known for his work in both literature and Hollywood cinema.
  • D. Friedrich Krafft
    Friedrich Krafft was a German chemist known for his work in organic chemistry and for the Krafft point concept related to the solubility of surfactants.
  • E. Friedrich Kühn
    Friedrich Kühn was a German Wehrmacht general and armored warfare commander 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15796b2288190b10e9402abf35fd3 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f2817688190abd9a0a022ac618c completed May 19, 2026, 10:44 a.m.
NEDg Description generation batch_6a0c4043d00481908f8d72d80c8ec692 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40d700188190a34ad429ec84e710 completed May 19, 2026, 10:52 a.m.
Created at: April 16, 2026, 8:43 p.m.