Triple

T8244199
Position Surface form Disambiguated ID Type / Status
Subject The Last Rung on the Ladder E192809 entity
Predicate mainCharacters P9202 FINISHED
Object Larry
Larry is a central character in Stephen King’s short story “The Last Rung on the Ladder,” whose relationship with his sister and a childhood tragedy drives the narrative’s emotional impact.
 E721784 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: [The Last Rung on the Ladder, mainCharacters, Larry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larry
Context triple: [The Last Rung on the Ladder, mainCharacters, 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 commonly used nickname of Lawrence Joseph Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • D. Larry
    Larry is the given name of Larry Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
  • 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
  • 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: [The Last Rung on the Ladder, mainCharacters, Larry]
Generated description
Larry is a central character in Stephen King’s short story “The Last Rung on the Ladder,” whose relationship with his sister and a childhood tragedy drives the narrative’s emotional impact.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larry
Target entity description: Larry is a central character in Stephen King’s short story “The Last Rung on the Ladder,” whose relationship with his sister and a childhood tragedy drives the narrative’s emotional impact.
  • A. Larry
    Larry is the sarcastic and somewhat cynical cameraman who works alongside Phil Connors in the film "Groundhog Day."
  • B. Larry
    Larry is the fictional mayor of the shark-plagued resort town Amity Island in the film "Jaws."
  • C. Larry
    Larry is a common masculine given name, often a diminutive of Lawrence, used widely in English-speaking countries.
  • D. Larry
    Larry is the given name of Larry Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
  • E. 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.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78711f5081909c2f357334491a07 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3521bfb48190935fe82a1f768adc completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a5d3bc8190801b1b0f09eee462 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4edfda788190a29f5d9a7a61f6ed completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:47 p.m.