Triple

T5342782
Position Surface form Disambiguated ID Type / Status
Subject Legion (2010 film) E123981 entity
Predicate mainCharacter P1183 FINISHED
Object 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).
E569685 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: Bob Hanson | Statement: [Legion (2010 film), mainCharacter, Bob Hanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Hanson
Context triple: [Legion (2010 film), mainCharacter, Bob Hanson]
  • A. Rex Hanson
    Rex Hanson is a wealthy, arrogant antagonist in the comedy film "Horrible Bosses 2," known for scheming against the main characters.
  • B. Ron Hagen
    Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
  • C. Larry Haines
    Larry Haines was an American actor best known for his long-running role on the television soap opera "Search for Tomorrow."
  • D. Doug J. Hannah
    Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
  • E. Hanson Puthuff
    Hanson Puthuff was an American landscape painter best known for his luminous Southern California scenes and his prominent role in the California Impressionist movement.
  • 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: Bob Hanson
Triple: [Legion (2010 film), mainCharacter, Bob Hanson]
Generated description
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).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bob Hanson
Target entity description: 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).
  • A. Rex Hanson
    Rex Hanson is a wealthy, arrogant antagonist in the comedy film "Horrible Bosses 2," known for scheming against the main characters.
  • B. Ron Hagen
    Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
  • C. Larry Haines
    Larry Haines was an American actor best known for his long-running role on the television soap opera "Search for Tomorrow."
  • D. Doug J. Hannah
    Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
  • E. Hanson Puthuff
    Hanson Puthuff was an American landscape painter best known for his luminous Southern California scenes and his prominent role in the California Impressionist movement.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85cc5a9881909e23bf9c5b697a8e completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124dc89a88190a219eda67e6d933c completed March 23, 2026, 11:32 a.m.
NEDg Description generation batch_69c129f2d84481908808481ba48a5aed completed March 23, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_69c12a5235288190a8db827e1a610cd0 completed March 23, 2026, 11:56 a.m.
Created at: March 20, 2026, 2:01 p.m.