Triple

T11988343
Position Surface form Disambiguated ID Type / Status
Subject Larry Robinson E285340 entity
Predicate givenName P17 FINISHED
Object Larry
Larry is the given name of Larry Robinson, a Hall of Fame Canadian ice hockey defenseman best known for his long career with the Montreal Canadiens.
 E959255 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 Robinson, givenName, Larry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larry
Context triple: [Larry Robinson, 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 Robinson, givenName, Larry]
Generated description
Larry is the given name of Larry Robinson, a Hall of Fame Canadian ice hockey defenseman best known for his long career with the Montreal Canadiens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larry
Target entity description: Larry is the given name of Larry Robinson, a Hall of Fame Canadian ice hockey defenseman best known for his long career with the Montreal Canadiens.
  • 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 given name of Larry Holmes, the American former professional boxer and longtime world heavyweight champion.
  • 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 first name of former American football quarterback Craig Morton.
  • E. Larry
    Larry is a common masculine given name, often a diminutive of Lawrence, used widely 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48abcf2588190a44e6e31e045b356 completed May 1, 2026, 11:13 a.m.
NEDg Description generation batch_69f48df7790c8190a8e79466f032e86d completed May 1, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69f490dfe4e4819092d7494ba9b807db completed May 1, 2026, 11:39 a.m.
Created at: April 8, 2026, 9:46 p.m.