Triple

T17767262
Position Surface form Disambiguated ID Type / Status
Subject Georg Carstensen E443539 entity
Predicate familyName P18 FINISHED
Object Carstensen
Carstensen is a Danish surname most notably associated with Georg Carstensen, the founder of Copenhagen’s Tivoli Gardens.
 E1286792 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: Carstensen | Statement: [Georg Carstensen, familyName, Carstensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carstensen
Context triple: [Georg Carstensen, familyName, Carstensen]
  • A. Senesky
    Senesky is a surname most notably associated with George Senesky, an American professional basketball player and coach in the mid-20th century.
  • B. Sene
    Sene is the tenth month of the Ethiopian calendar, roughly corresponding to June in the Gregorian calendar.
  • C. Jouvenet
    Jouvenet is a French surname historically associated with several notable artists and craftsmen, particularly during the 17th and 18th centuries.
  • D. Senilia
    Senilia is a literary work by Swedish author and academic Lars Gyllensten, reflecting his characteristic blend of philosophical reflection and experimental prose.
  • E. Senai
    Senai is a town in Johor, Malaysia, best known for housing Senai International Airport and serving as a key industrial and logistics hub near Skudai.
  • 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: Carstensen
Triple: [Georg Carstensen, familyName, Carstensen]
Generated description
Carstensen is a Danish surname most notably associated with Georg Carstensen, the founder of Copenhagen’s Tivoli Gardens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carstensen
Target entity description: Carstensen is a Danish surname most notably associated with Georg Carstensen, the founder of Copenhagen’s Tivoli Gardens.
  • A. Senesky
    Senesky is a surname most notably associated with George Senesky, an American professional basketball player and coach in the mid-20th century.
  • B. Sene
    Sene is the tenth month of the Ethiopian calendar, roughly corresponding to June in the Gregorian calendar.
  • C. Jouvenet
    Jouvenet is a French surname historically associated with several notable artists and craftsmen, particularly during the 17th and 18th centuries.
  • D. Senilia
    Senilia is a literary work by Swedish author and academic Lars Gyllensten, reflecting his characteristic blend of philosophical reflection and experimental prose.
  • E. Senai
    Senai is a town in Johor, Malaysia, best known for housing Senai International Airport and serving as a key industrial and logistics hub near Skudai.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fccb9881908923564bf319f3c1 completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc14808819099ecbb8a752aff24 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f096fc648190a1ff19f2704a4cef completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1d0a4708190bbf51356da7e965e completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:11 a.m.