Triple

T12523697
Position Surface form Disambiguated ID Type / Status
Subject Bert Bell Award E299381 entity
Predicate hasRecipient P108 FINISHED
Object Ken O'Brien
Ken O'Brien is a former American football quarterback best known for his Pro Bowl career with the New York Jets in the 1980s.
 E1077907 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: Ken O'Brien | Statement: [Bert Bell Award, hasRecipient, Ken O'Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ken O'Brien
Context triple: [Bert Bell Award, hasRecipient, Ken O'Brien]
  • A. Graham O'Brien
    Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
  • B. Barry O’Brien
    Barry O’Brien is an American television writer and producer best known for co-creating the hit Disney Channel series "Hannah Montana."
  • C. Greg O’Connor
    Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
  • D. Michael O’Rourke
    Michael O’Rourke is best known as the father of the late child actress Heather O’Rourke, who starred in the "Poltergeist" film series.
  • E. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • 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: Ken O'Brien
Triple: [Bert Bell Award, hasRecipient, Ken O'Brien]
Generated description
Ken O'Brien is a former American football quarterback best known for his Pro Bowl career with the New York Jets in the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ken O'Brien
Target entity description: Ken O'Brien is a former American football quarterback best known for his Pro Bowl career with the New York Jets in the 1980s.
  • A. Graham O'Brien
    Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
  • B. Barry O’Brien
    Barry O’Brien is an American television writer and producer best known for co-creating the hit Disney Channel series "Hannah Montana."
  • C. Greg O’Connor
    Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
  • D. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • E. Michael O’Rourke
    Michael O’Rourke is best known as the father of the late child actress Heather O’Rourke, who starred in the "Poltergeist" film series.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545c2aa081908e8a5a94d30e23eb completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
NEDg Description generation batch_69fcc4fa09448190b662af829712e657 completed May 7, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69fcc5d162c081908750fed589ed2d69 completed May 7, 2026, 5:03 p.m.
Created at: April 8, 2026, 9:57 p.m.