Triple

T20929213
Position Surface form Disambiguated ID Type / Status
Subject Conspiracy Theory E515423 entity
Predicate starring P1507 FINISHED
Object Steve Kahan
Steve Kahan is an American character actor best known for his supporting roles in action and thriller films, particularly frequent collaborations with director Richard Donner.
E1457360 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: Steve Kahan | Statement: [Conspiracy Theory, starring, Steve Kahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Kahan
Context triple: [Conspiracy Theory, starring, Steve Kahan]
  • A. Ken Koblun
    Ken Koblun is a Canadian bassist best known for his early involvement with the influential 1960s rock band Buffalo Springfield.
  • B. Steve Kirsch
    Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
  • C. Eric Lofgren
    Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
  • D. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • E. Ken Lemberger
    Ken Lemberger is a film producer known for his work on the 2006 adaptation of "All the King's Men."
  • 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: Steve Kahan
Triple: [Conspiracy Theory, starring, Steve Kahan]
Generated description
Steve Kahan is an American character actor best known for his supporting roles in action and thriller films, particularly frequent collaborations with director Richard Donner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steve Kahan
Target entity description: Steve Kahan is an American character actor best known for his supporting roles in action and thriller films, particularly frequent collaborations with director Richard Donner.
  • A. Ken Koblun
    Ken Koblun is a Canadian bassist best known for his early involvement with the influential 1960s rock band Buffalo Springfield.
  • B. Steve Kirsch
    Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
  • C. Eric Lofgren
    Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
  • D. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • E. Ken Lemberger
    Ken Lemberger is a film producer known for his work on the 2006 adaptation of "All the King's Men."
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f6545f8c81908a8c2f0e8d7b060e completed April 21, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fce6b148190b2dcf07d95696744 completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a09206824148190881bef138312d37f completed May 17, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0920d752888190bffcfa7ce75cd2ad completed May 17, 2026, 1:58 a.m.
Created at: April 16, 2026, 12:49 p.m.