Triple

T259568
Position Surface form Disambiguated ID Type / Status
Subject Murray Gell-Mann E5511 entity
Predicate givenName P17 FINISHED
Object Murray
Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
E33747 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: Murray | Statement: [Murray Gell-Mann, givenName, Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray
Context triple: [Murray Gell-Mann, givenName, Murray]
  • A. Frick
    Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
  • B. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • C. Maynard
    Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
  • D. Spencer Brook
    Spencer Brook is a smaller tributary stream that feeds into New York’s Croton River within the Croton River watershed system.
  • E. Mitchell
    Mitchell Kapor is an American entrepreneur and software designer best known for founding Lotus Development Corporation and co-creating the Lotus 1-2-3 spreadsheet program.
  • 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: Murray
Triple: [Murray Gell-Mann, givenName, Murray]
Generated description
Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Murray
Target entity description: Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
  • A. Frick
    Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
  • B. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • C. Maynard
    Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
  • D. Spencer Brook
    Spencer Brook is a smaller tributary stream that feeds into New York’s Croton River within the Croton River watershed system.
  • E. Mitchell
    Mitchell Kapor is an American entrepreneur and software designer best known for founding Lotus Development Corporation and co-creating the Lotus 1-2-3 spreadsheet program.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3837622cc819096df20695413b5c0 completed March 1, 2026, 12:08 a.m.
NEDg Description generation batch_69a38470215c8190b6541ab567ca5721 completed March 1, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69a384cbfbec81909a3ae67f51dadfb3 completed March 1, 2026, 12:14 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.