Triple

T9851350
Position Surface form Disambiguated ID Type / Status
Subject Carl E. Wieman E239476 entity
Predicate givenName P17 FINISHED
Object 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.
E241662 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 E. Wieman, givenName, Carl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl
Context triple: [Carl E. Wieman, givenName, Carl]
  • A. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • B. Carl
    Carl is a central character in the British comedy film "The Boat That Rocked," portrayed as a young man who joins a pirate radio ship in the 1960s and comes of age amid its rebellious DJs and rock music culture.
  • 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 an alternate given name associated with Reggie Smith, likely reflecting his full legal or birth name.
  • E. Carl
    Carl is the given name of Carl Viggo Lange, a Norwegian physician and politician.
  • 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 E. Wieman, givenName, Carl]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carl
Target entity description: 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.
  • A. Carl chosen
    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 David Anderson, the American physicist who discovered the positron and won the Nobel Prize in Physics.
  • C. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • D. Carl
    Carl is the given name of Carl von Linde, the German engineer and inventor known for pioneering refrigeration and gas liquefaction technologies.
  • E. 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.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3742fe48190bae6e6d828a9cc0d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ee190c8190957451d8d8291df3 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6a385ac8190b5dd11adfbb7578d completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d75210f4819096ee05a8b870581e completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:34 p.m.