Triple

T3882987
Position Surface form Disambiguated ID Type / Status
Subject Carl Schorske E92868 entity
Predicate givenName P17 FINISHED
Object Carl
Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
E398073 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 Schorske, givenName, Carl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl
Context triple: [Carl Schorske, 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 influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
  • 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 an alternate given name associated with Reggie Smith, likely reflecting his full legal or birth name.
  • E. 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.
  • 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 Schorske, givenName, Carl]
Generated description
Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carl
Target entity description: Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
  • 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 influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
  • C. Carl
    Carl is the given name of the American poet, writer, and editor Carl Sandburg, known for his vivid portrayals of American life and his biographies of Abraham Lincoln.
  • D. Carl
    Carl is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician of the Classical period.
  • E. 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.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8e8b3481909617ca0e37f8a6d4 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8983b88190a716987f44487d56 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d3187a881908327fc981e31b7c9 completed March 14, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_69b51d93ad20819099e2797806b278b9 completed March 14, 2026, 8:34 a.m.
Created at: March 9, 2026, 3:20 p.m.