Triple

T21764224
Position Surface form Disambiguated ID Type / Status
Subject Karl Lashley E537236 entity
Predicate givenName P17 FINISHED
Object Karl
Karl is the given name of Karl Lashley, an influential American psychologist and neuroscientist known for his work on brain function and learning.
E1501328 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: Karl | Statement: [Karl Lashley, givenName, Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl
Context triple: [Karl Lashley, givenName, Karl]
  • A. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • B. Karl
    Karl is a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
  • C. Karl
    Karl is the given first name of Carol I of Romania, the 19th-century Prussian-born prince who became the first king of modern Romania.
  • D. Karl
    Karl is the given first name of the Swedish songwriter and record producer known professionally as Shellback.
  • E. Karl
    Karl is the given name of Charles Frederick, Duke of Holstein-Gottorp, a German nobleman and father of the future Russian Emperor Peter III.
  • 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: Karl
Triple: [Karl Lashley, givenName, Karl]
Generated description
Karl is the given name of Karl Lashley, an influential American psychologist and neuroscientist known for his work on brain function and learning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karl
Target entity description: Karl is the given name of Karl Lashley, an influential American psychologist and neuroscientist known for his work on brain function and learning.
  • A. Karl
    Karl is the given name of Karl Popper, the influential 20th-century philosopher of science known for his theory of falsifiability.
  • B. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • C. Karl
    Karl is the given name of Karl Kerényi, a renowned Hungarian classical philologist and scholar of Greek mythology.
  • D. Karl
    Karl is the given first name of K. Barry Sharpless, the Nobel Prize–winning American chemist known for pioneering click chemistry.
  • E. Karl
    Karl is the given name of Karl Ivanovich Maximowicz, a 19th-century Russian botanist known for his extensive studies of East Asian flora.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a8a7f08190a4e50ebc24219585 completed April 28, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3677fa80819082dbe7ba2fcb0421 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a373aca708190aae867f78c87b956 completed May 17, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0a37e0bed48190b0319d62eaff5d1e completed May 17, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:51 p.m.