Triple

T9545088
Position Surface form Disambiguated ID Type / Status
Subject Rolf Carls E230260 entity
Predicate familyName P18 FINISHED
Object Carls
Carls is a German surname most notably associated with Rolf Carls, a high-ranking naval officer in the Kriegsmarine during World War II.
 E805442 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: Carls | Statement: [Rolf Carls, familyName, Carls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carls
Context triple: [Rolf Carls, familyName, Carls]
  • A. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • B. Carns
    Carns is a surname that functions as a variant spelling of the family name Carnes.
  • C. Carr
    Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
  • D. CARL
    CARL is an organization or research group associated with York University, likely focused on a specialized academic or scientific domain.
  • E. CARL
    CARL is the national organization representing Canada’s major research libraries, promoting access to scholarly information and supporting research and higher education.
  • 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: Carls
Triple: [Rolf Carls, familyName, Carls]
Generated description
Carls is a German surname most notably associated with Rolf Carls, a high-ranking naval officer in the Kriegsmarine during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carls
Target entity description: Carls is a German surname most notably associated with Rolf Carls, a high-ranking naval officer in the Kriegsmarine during World War II.
  • A. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • B. Carns
    Carns is a surname that functions as a variant spelling of the family name Carnes.
  • C. Carr
    Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
  • D. CARL
    CARL is an organization or research group associated with York University, likely focused on a specialized academic or scientific domain.
  • E. CARL
    CARL is the national organization representing Canada’s major research libraries, promoting access to scholarly information and supporting research and higher education.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9901f2bc8190a4076f5947660df9 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6cd93c8190ac197afda780ce78 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d4576488190a000f733ece39620 completed April 4, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69d14dda805c81908093eb146915fdda completed April 4, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:01 p.m.