Triple

T8711723
Position Surface form Disambiguated ID Type / Status
Subject Auckland Grammar School E206791 entity
Predicate hasRector P325 FINISHED
Object Tim O'Connor
Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
 E760402 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: Tim O'Connor | Statement: [Auckland Grammar School, hasRector, Tim O'Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tim O'Connor
Context triple: [Auckland Grammar School, hasRector, Tim O'Connor]
  • A. Jay O’Connor
    Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
  • B. Mark O’Connor
    Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
  • C. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • D. Tim O'Kelly
    Tim O'Kelly is an American actor best known for his role as the young police officer in Peter Bogdanovich's 1968 film "Targets."
  • E. Kevin O'Connell
    Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
  • 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: Tim O'Connor
Triple: [Auckland Grammar School, hasRector, Tim O'Connor]
Generated description
Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tim O'Connor
Target entity description: Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
  • A. Jay O’Connor
    Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
  • B. Mark O’Connor
    Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
  • C. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • D. Tim O'Kelly
    Tim O'Kelly is an American actor best known for his role as the young police officer in Peter Bogdanovich's 1968 film "Targets."
  • E. Kevin O'Connell
    Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3189f88190bb9bb77ba9d28d60 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88cf76888190a0cdab7f30c791c7 completed April 3, 2026, 9:30 a.m.
NEDg Description generation batch_69cf8a3d8e548190911d44ee36875d44 completed April 3, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ae86e1881908a77f660c061bf69 completed April 3, 2026, 9:39 a.m.
Created at: March 30, 2026, 6:35 p.m.