Triple

T26917
Position Surface form Disambiguated ID Type / Status
Subject Claude Shannon E539 entity
Predicate familyName P18 FINISHED
Object Shannon
Shannon is a common Irish surname that originates from the River Shannon and is borne by numerous notable individuals, including mathematician and information theorist Claude Shannon.
 E3529 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: Shannon | Statement: [Claude Shannon, familyName, Shannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shannon
Context triple: [Claude Shannon, familyName, Shannon]
  • A. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • B. Bolt Beranek and Newman
    Bolt Beranek and Newman was a pioneering American research and engineering firm best known for its foundational role in developing the ARPANET, a precursor to the modern internet.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • 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: Shannon
Triple: [Claude Shannon, familyName, Shannon]
Generated description
Shannon is a common Irish surname that originates from the River Shannon and is borne by numerous notable individuals, including mathematician and information theorist Claude Shannon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shannon
Target entity description: Shannon is a common Irish surname that originates from the River Shannon and is borne by numerous notable individuals, including mathematician and information theorist Claude Shannon.
  • A. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • B. Bolt Beranek and Newman
    Bolt Beranek and Newman was a pioneering American research and engineering firm best known for its foundational role in developing the ARPANET, a precursor to the modern internet.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246776cf48190aca9855cb07e8d89 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e5b531481909078feeee5cf26e2 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a2506ad2ac8190b5a61c3fb3890d47 completed Feb. 28, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69a25147eccc8190b6151a03b064d31c completed Feb. 28, 2026, 2:22 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.