Triple

T9035683
Position Surface form Disambiguated ID Type / Status
Subject Carl David Anderson E216486 entity
Predicate givenName P17 FINISHED
Object Carl
Carl is the given name of Carl David Anderson, the American physicist who discovered the positron and won the Nobel Prize in Physics.
 E773736 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 David Anderson, givenName, Carl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carl
Context triple: [Carl David Anderson, 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 Carl Bernstein, the American investigative journalist renowned for his reporting on the Watergate scandal.
  • 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 David Anderson, givenName, Carl]
Generated description
Carl is the given name of Carl David Anderson, the American physicist who discovered the positron and won the Nobel Prize in Physics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carl
Target entity description: Carl is the given name of Carl David Anderson, the American physicist who discovered the positron and won the Nobel Prize in Physics.
  • A. 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.
  • B. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • C. Carl
    Carl is the given name of Carl Bosch, the German chemist and engineer who pioneered high-pressure industrial chemistry and shared the 1931 Nobel Prize in Chemistry.
  • D. Carl
    Carl is the given name of the influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
  • 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

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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6ac0b00c8190a7250b86bb7cc276 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbd1cd688190a4456f242e6d3ddf completed April 3, 2026, 3:25 p.m.
NEDg Description generation batch_69cfdc9868fc8190addad6b87b567277 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfe0aafe4c81908a5b31590f6c9152 completed April 3, 2026, 3:45 p.m.
Created at: March 30, 2026, 7:08 p.m.