Triple

T11999250
Position Surface form Disambiguated ID Type / Status
Subject Alan Ruck E285612 entity
Predicate portrayed P1668 FINISHED
Object Doug Hansen
Doug Hansen is a fictional character played by Alan Ruck, best known as the anxious and somewhat hapless storm chaser in the 1996 disaster film "Twister."
 E964849 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: Doug Hansen | Statement: [Alan Ruck, portrayed, Doug Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doug Hansen
Context triple: [Alan Ruck, portrayed, Doug Hansen]
  • A. Ryan Hansen
    Ryan Hansen is an American actor best known for his role as Dick Casablancas on the television series "Veronica Mars."
  • B. Lloyd Hansen
    Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
  • C. Dale Hansen
    Dale Hansen was a U.S. Marine and Medal of Honor recipient from World War II, honored posthumously through the naming of Camp Hansen in Okinawa, Japan.
  • D. Ron Hagen
    Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
  • E. Bob Hanson
    Bob Hanson is the gruff, world-weary owner of a remote desert diner who becomes an unlikely defender of humanity in the supernatural action-horror film "Legion" (2010).
  • 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: Doug Hansen
Triple: [Alan Ruck, portrayed, Doug Hansen]
Generated description
Doug Hansen is a fictional character played by Alan Ruck, best known as the anxious and somewhat hapless storm chaser in the 1996 disaster film "Twister."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doug Hansen
Target entity description: Doug Hansen is a fictional character played by Alan Ruck, best known as the anxious and somewhat hapless storm chaser in the 1996 disaster film "Twister."
  • A. Ryan Hansen
    Ryan Hansen is an American actor best known for his role as Dick Casablancas on the television series "Veronica Mars."
  • B. Lloyd Hansen
    Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
  • C. Dale Hansen
    Dale Hansen was a U.S. Marine and Medal of Honor recipient from World War II, honored posthumously through the naming of Camp Hansen in Okinawa, Japan.
  • D. Ron Hagen
    Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
  • E. Bob Hanson
    Bob Hanson is the gruff, world-weary owner of a remote desert diner who becomes an unlikely defender of humanity in the supernatural action-horror film "Legion" (2010).
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f640b9a481908de1b7858e3db52c completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f600b51f488190a85a8f10f190b3c0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:46 p.m.