Triple

T13129097
Position Surface form Disambiguated ID Type / Status
Subject Cincinnati Stingers E311919 entity
Predicate notablePlayer P304 FINISHED
Object Paul Stewart
Paul Stewart is a former professional ice hockey player who later became a well-known NHL referee.
 E1025914 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: Paul Stewart | Statement: [Cincinnati Stingers, notablePlayer, Paul Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Stewart
Context triple: [Cincinnati Stingers, notablePlayer, Paul Stewart]
  • A. Paul Stewart
    Paul Stewart was an American character actor and director known for his tough-guy roles in film noir and classic Hollywood cinema.
  • B. Paul Stewart
    Paul Stewart is a former British racing driver and motorsport team owner, best known for co-founding and managing Paul Stewart Racing, which later evolved into the Stewart Grand Prix Formula One team.
  • C. Paul Stacey
    Paul Stacey is a British guitarist, producer, and songwriter best known for his work with rock bands such as The Black Crowes and Oasis.
  • D. Tim Stevenson
    Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
  • E. Hal Stewart
    Hal Stewart is the cameraman-turned-supervillain known as Tighten in the animated film "Megamind."
  • 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: Paul Stewart
Triple: [Cincinnati Stingers, notablePlayer, Paul Stewart]
Generated description
Paul Stewart is a former professional ice hockey player who later became a well-known NHL referee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Stewart
Target entity description: Paul Stewart is a former professional ice hockey player who later became a well-known NHL referee.
  • A. Paul Stewart
    Paul Stewart was an American character actor and director known for his tough-guy roles in film noir and classic Hollywood cinema.
  • B. Paul Stewart
    Paul Stewart is a former British racing driver and motorsport team owner, best known for co-founding and managing Paul Stewart Racing, which later evolved into the Stewart Grand Prix Formula One team.
  • C. Paul Stacey
    Paul Stacey is a British guitarist, producer, and songwriter best known for his work with rock bands such as The Black Crowes and Oasis.
  • D. Tim Stevenson
    Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
  • E. Hal Stewart
    Hal Stewart is the cameraman-turned-supervillain known as Tighten in the animated film "Megamind."
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819bfd348190a22d44f837877e1c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d59c5881909072afd0bc273f5f completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f694f8c48190adce4cddbf63777f completed May 3, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6f7d8bfa0819097b3d9175bc56933 completed May 3, 2026, 7:23 a.m.
Created at: April 9, 2026, 9:07 p.m.