Triple

T4705106
Position Surface form Disambiguated ID Type / Status
Subject 1969 AFL Championship E104372 entity
Predicate referee P268 FINISHED
Object Jack Reader
Jack Reader was an American football official best known for serving as a referee in major games during the American Football League era.
 E462171 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: Jack Reader | Statement: [1969 AFL Championship, referee, Jack Reader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jack Reader
Context triple: [1969 AFL Championship, referee, Jack Reader]
  • A. Tobias Read
    Tobias Read is an American politician who has served as Oregon's State Treasurer, overseeing the state's financial management and public investment programs.
  • B. Peter Hawkins
    Peter Hawkins was a British voice actor best known for originating the iconic voices of the Daleks in the classic Doctor Who television series.
  • C. Tate Langdon
    Tate Langdon is a troubled, ghostly teenager and central antagonist in the first season of the horror anthology series American Horror Story.
  • D. Jake
    Jake is a fictional character from the "Pacific Rim" film franchise, known as the charismatic Jaeger pilot and son of legendary pilot Stacker Pentecost.
  • E. Jake
    Jake is a masculine given name commonly used in English-speaking countries, often as a short form of Jacob.
  • 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: Jack Reader
Triple: [1969 AFL Championship, referee, Jack Reader]
Generated description
Jack Reader was an American football official best known for serving as a referee in major games during the American Football League era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jack Reader
Target entity description: Jack Reader was an American football official best known for serving as a referee in major games during the American Football League era.
  • A. Tobias Read
    Tobias Read is an American politician who has served as Oregon's State Treasurer, overseeing the state's financial management and public investment programs.
  • B. Peter Hawkins
    Peter Hawkins was a British voice actor best known for originating the iconic voices of the Daleks in the classic Doctor Who television series.
  • C. Tate Langdon
    Tate Langdon is a troubled, ghostly teenager and central antagonist in the first season of the horror anthology series American Horror Story.
  • D. Jake
    Jake is a fictional character from the "Pacific Rim" film franchise, known as the charismatic Jaeger pilot and son of legendary pilot Stacker Pentecost.
  • E. Jake
    Jake is a masculine given name commonly used in English-speaking countries, often as a short form of Jacob.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d1e9c48190bad5f7d68bf0f622 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03d074348190a19092fa02a0bb39 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be050e0f488190804c512e7cc17c56 completed March 21, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69be05a6bed081909c8d8830fb103610 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.