Triple

T15846452
Position Surface form Disambiguated ID Type / Status
Subject Terry Kiser E384226 entity
Predicate familyName P18 FINISHED
Object Kiser
Kiser is a surname most notably associated with American actor Terry Kiser, known for his role in the comedy film "Weekend at Bernie's."
E1179908 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: Kiser | Statement: [Terry Kiser, familyName, Kiser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiser
Context triple: [Terry Kiser, familyName, Kiser]
  • A. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • B. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • C. Kinsley
    Kinsley is a village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
  • D. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • E. Keoghan
    Keoghan is an Irish surname most prominently associated with actor Barry Keoghan, known for his roles in films such as "The Banshees of Inisherin" and "Dunkirk."
  • 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: Kiser
Triple: [Terry Kiser, familyName, Kiser]
Generated description
Kiser is a surname most notably associated with American actor Terry Kiser, known for his role in the comedy film "Weekend at Bernie's."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiser
Target entity description: Kiser is a surname most notably associated with American actor Terry Kiser, known for his role in the comedy film "Weekend at Bernie's."
  • A. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • B. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • C. Kinsley
    Kinsley is a village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
  • D. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • E. Keoghan
    Keoghan is an Irish surname most prominently associated with actor Barry Keoghan, known for his roles in films such as "The Banshees of Inisherin" and "Dunkirk."
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca7c8f08190abe21cbb0c390f95 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.