Triple

T20878139
Position Surface form Disambiguated ID Type / Status
Subject Dan Fogler E514074 entity
Predicate familyName P18 FINISHED
Object Fogler
Fogler is a surname most notably associated with American actor and comedian Dan Fogler, known for his roles in film, television, and theater.
 E1455022 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: Fogler | Statement: [Dan Fogler, familyName, Fogler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fogler
Context triple: [Dan Fogler, familyName, Fogler]
  • A. Wiggin
    Wiggin is a surname most notably associated with individuals such as former American football player and coach Paul Wiggin.
  • B. Webling
    Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
  • C. Falstone
    Falstone is a small rural village in Northumberland, England, situated near Kielder Water and the North Tyne River.
  • D. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • E. Fogell
    Fogell, better known by his fake ID name "McLovin," is the awkward, overconfident teen whose disastrous attempt to buy alcohol becomes one of the central comedic plotlines in the film *Superbad*.
  • 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: Fogler
Triple: [Dan Fogler, familyName, Fogler]
Generated description
Fogler is a surname most notably associated with American actor and comedian Dan Fogler, known for his roles in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fogler
Target entity description: Fogler is a surname most notably associated with American actor and comedian Dan Fogler, known for his roles in film, television, and theater.
  • A. Wiggin
    Wiggin is a surname most notably associated with individuals such as former American football player and coach Paul Wiggin.
  • B. Webling
    Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
  • C. Falstone
    Falstone is a small rural village in Northumberland, England, situated near Kielder Water and the North Tyne River.
  • D. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • E. Fogell
    Fogell, better known by his fake ID name "McLovin," is the awkward, overconfident teen whose disastrous attempt to buy alcohol becomes one of the central comedic plotlines in the film *Superbad*.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6775f108190a79cd5e8c31cecf6 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0913a242e08190be0a234ba5221a3a completed May 17, 2026, 1:02 a.m.
NEDg Description generation batch_6a09146856cc819087dbfbe5f9b24bb1 completed May 17, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0915506ff48190a97f89092dac2ca2 completed May 17, 2026, 1:09 a.m.
Created at: April 16, 2026, 12:45 p.m.