Triple

T9315642
Position Surface form Disambiguated ID Type / Status
Subject Tony Denison E224111 entity
Predicate familyName P18 FINISHED
Object Denison
Denison is a surname most notably associated with American actor Tony Denison, known for his roles in crime drama television series.
 E120802 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: Denison | Statement: [Tony Denison, familyName, Denison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Denison
Context triple: [Tony Denison, familyName, Denison]
  • A. Denison
    Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
  • B. Denison University
    Denison University is a private liberal arts college in Granville, Ohio, known for its strong undergraduate programs and vibrant residential campus life.
  • C. Shattuck
    Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
  • D. Creighton
    Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
  • E. Averett
    Averett is a given name most notably associated with American science fiction and fantasy author Michael Averett Lowell, better known as Michael A. Stackpole.
  • 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: Denison
Triple: [Tony Denison, familyName, Denison]
Generated description
Denison is a surname most notably associated with American actor Tony Denison, known for his roles in crime drama television series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Denison
Target entity description: Denison is a surname most notably associated with American actor Tony Denison, known for his roles in crime drama television series.
  • A. Denison chosen
    Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
  • B. Denison University
    Denison University is a private liberal arts college in Granville, Ohio, known for its strong undergraduate programs and vibrant residential campus life.
  • C. Shattuck
    Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
  • D. Creighton
    Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
  • E. Averett
    Averett is a given name most notably associated with American science fiction and fantasy author Michael Averett Lowell, better known as Michael A. Stackpole.
  • F. None of above.

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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358846e48190a8aacfab19d88ae7 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7acba54819086da668f234321de completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0c8d9caf88190b595fe2fdf925394 completed April 4, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_69d0caeb3bf8819082afe90dec3364ec completed April 4, 2026, 8:25 a.m.
Created at: March 30, 2026, 7:37 p.m.