Triple

T5434883
Position Surface form Disambiguated ID Type / Status
Subject Principal Nathan Gardner E121983 entity
Predicate hasName P744 FINISHED
Object Nathan Gardner
Nathan Gardner is an educational administrator who serves as a school principal.
 E520017 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: Nathan Gardner | Statement: [Principal Nathan Gardner, hasName, Nathan Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nathan Gardner
Context triple: [Principal Nathan Gardner, hasName, Nathan Gardner]
  • A. Nathan Gamble
    Nathan Gamble is an American actor best known for his childhood roles in films such as "Babel" and the "Dolphin Tale" series.
  • B. Nathan Bateman
    Nathan Bateman is the reclusive, manipulative tech billionaire and AI creator in the science fiction film "Ex Machina."
  • C. Jimmy Gardner
    Jimmy Gardner was an early 20th-century Canadian ice hockey player, coach, and executive who played a key role in organizing professional hockey and shaping the sport’s development in North America.
  • D. Nathan Johnson
    Nathan Johnson is an American film composer and musician best known for his innovative, experimental scores for director Rian Johnson’s movies, including "Brick," "Looper," and "Knives Out."
  • E. Trevor Gardner
    Trevor Gardner was a prominent U.S. defense official and aerospace executive known for his influential role in advancing American missile and space programs during the Cold War.
  • 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: Nathan Gardner
Triple: [Principal Nathan Gardner, hasName, Nathan Gardner]
Generated description
Nathan Gardner is an educational administrator who serves as a school principal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nathan Gardner
Target entity description: Nathan Gardner is an educational administrator who serves as a school principal.
  • A. Nathan Gamble
    Nathan Gamble is an American actor best known for his childhood roles in films such as "Babel" and the "Dolphin Tale" series.
  • B. Nathan Bateman
    Nathan Bateman is the reclusive, manipulative tech billionaire and AI creator in the science fiction film "Ex Machina."
  • C. Jimmy Gardner
    Jimmy Gardner was an early 20th-century Canadian ice hockey player, coach, and executive who played a key role in organizing professional hockey and shaping the sport’s development in North America.
  • D. Nathan Johnson
    Nathan Johnson is an American film composer and musician best known for his innovative, experimental scores for director Rian Johnson’s movies, including "Brick," "Looper," and "Knives Out."
  • E. Trevor Gardner
    Trevor Gardner was a prominent U.S. defense official and aerospace executive known for his influential role in advancing American missile and space programs during the Cold War.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91af68308190810c64e76c83fa46 completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3accb6748190989257c3b991a760 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b72f1fc8190a2fbc516cf75abdb completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3f44fdd08190bb9ba0e10e4410af completed March 22, 2026, 1 a.m.
Created at: March 20, 2026, 2:06 p.m.