Triple

T16128123
Position Surface form Disambiguated ID Type / Status
Subject Larry Silverstein E391324 entity
Predicate givenName P17 FINISHED
Object Larry
Larry is a masculine given name, often a diminutive of Lawrence or Laurence, commonly used in English-speaking countries.
 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 Silverstein, givenName, Larry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larry
Context triple: [Larry Silverstein, 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 Silverstein, givenName, Larry]
Generated description
Larry is a masculine given name, often a diminutive of Lawrence or Laurence, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larry
Target entity description: Larry is a masculine given name, often a diminutive of Lawrence or Laurence, commonly used in English-speaking countries.
  • 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 L. King, an American playwright, journalist, and author best known for co-writing the musical "The Best Little Whorehouse in Texas."
  • 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 Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20206a6f08190aa648d2bb11e7878 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2adf5848190a1dd58bc76dd4ffd completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3b375d48190a958b34c5df5c5f1 completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff447e1248190a3a1386946172429 completed May 10, 2026, 2:58 a.m.
Created at: April 10, 2026, 5 a.m.