Triple

T8941892
Position Surface form Disambiguated ID Type / Status
Subject Carl Lutz E212921 entity
Predicate givenName P17 FINISHED
Object Carl
Carl is a masculine given name of Germanic origin that has been widely used in various European and English-speaking countries.
E248242 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: Carl | Statement: [Carl Lutz, givenName, Carl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl
Context triple: [Carl Lutz, givenName, Carl]
  • A. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • B. Carl
    Carl is the given name of the 19th-century German mathematician Carl Gustav Jacob Jacobi, renowned for his foundational work in elliptic functions and other areas of mathematics.
  • C. Carl
    Carl is the given name of the influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
  • D. Carl
    Carl is the given name of Nobel Prize–winning physicist Carl E. Wieman, known for his work on Bose–Einstein condensates and physics education research.
  • E. Carl
    Carl is the given name of Carl von Linde, the German engineer and inventor known for pioneering refrigeration and gas liquefaction technologies.
  • 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: Carl
Triple: [Carl Lutz, givenName, Carl]
Generated description
Carl is a masculine given name of Germanic origin that has been widely used in various European and English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carl
Target entity description: Carl is a masculine given name of Germanic origin that has been widely used in various European and English-speaking countries.
  • A. Carl chosen
    Carl is a masculine given name of Germanic origin that is related to Charles and commonly used in many English-speaking and European countries.
  • B. Carl
    Carl is the given name of Carl von Martius, a notable 19th-century German botanist and explorer known for his extensive studies of Brazilian flora.
  • C. Carl
    Carl is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician of the Classical period.
  • D. Carl
    Carl is the given name of Charles I Louis, the 17th-century Elector Palatine of the Rhine in the Holy Roman Empire.
  • E. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • F. None of above.

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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b9c14c8190b80c3df0cdba2747 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1f418708190b1272209f61e3a51 completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc25fdf3481909d9821f7728b0c5b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc2e808408190b9bc44ed21fc67d9 completed April 3, 2026, 1:38 p.m.
Created at: March 30, 2026, 6:58 p.m.