Triple

T16813126
Position Surface form Disambiguated ID Type / Status
Subject Larry Kellner E408665 entity
Predicate givenName P17 FINISHED
Object Larry
Larry is a common masculine given name, often a diminutive of Lawrence or Laurence.
E475016 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: Larry | Statement: [Larry Kellner, givenName, Larry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry
Context triple: [Larry Kellner, givenName, Larry]
  • A. Larry
    Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
  • B. Larry
    Larry is the sarcastic and somewhat cynical cameraman who works alongside Phil Connors in the film "Groundhog Day."
  • C. Larry
    Larry is the given name of Larry Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
  • D. Larry
    Larry is the given name of Larry Poons, an American abstract painter associated with the Color Field movement and Op Art.
  • E. Larry
    Larry Gagosian is a prominent American art dealer and owner of the international Gagosian Gallery network.
  • 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: Larry
Triple: [Larry Kellner, givenName, Larry]
Generated description
Larry is a common masculine given name, often a diminutive of Lawrence or Laurence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Larry
Target entity description: Larry is a common masculine given name, often a diminutive of Lawrence or Laurence.
  • A. Larry chosen
    Larry is a common masculine given name, often a diminutive of Lawrence, used widely in English-speaking countries.
  • B. Larry
    Larry is the given name of Larry Holmes, the American former professional boxer and longtime world heavyweight champion.
  • C. Larry
    Larry is the given name of Larry Nance Sr., a former American professional basketball player known for his dunking ability and NBA All-Star appearances.
  • D. Larry
    Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
  • E. Larry
    Larry is the given name of Larry L. King, an American playwright, journalist, and author best known for co-writing the musical "The Best Little Whorehouse in Texas."
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2df5c888190a462614e1432c357 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b32d2a588190b59bad56f8817bce completed May 10, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3d14b3c819081f435777f47eca3 completed May 10, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.