Triple

T8319355
Position Surface form Disambiguated ID Type / Status
Subject The Fireman E194788 entity
Predicate hasCharacter P2308 FINISHED
Object Father Storey
Father Storey is a character in the novel "The Fireman," likely serving as a religious figure whose faith and moral perspective influence the story’s events.
 E725789 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: Father Storey | Statement: [The Fireman, hasCharacter, Father Storey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Father Storey
Context triple: [The Fireman, hasCharacter, Father Storey]
  • A. Frank Parrish
    Frank Parrish is a fictional character portrayed by actor Tim Reid, likely in a film or television production.
  • B. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • C. Henry McMorran
    Henry McMorran was a prominent local figure and benefactor in Port Huron, Michigan, whose contributions to the community led to the city’s main event center being named in his honor.
  • D. Thomas Shepherd
    Thomas Shepherd is an author known for writing the story for the film "Dolittle."
  • E. Mr. Fletcher
    Mr. Fletcher is the video store owner in the comedy film "Be Kind Rewind," around whose struggling VHS rental shop the movie’s events and homemade remakes revolve.
  • 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: Father Storey
Triple: [The Fireman, hasCharacter, Father Storey]
Generated description
Father Storey is a character in the novel "The Fireman," likely serving as a religious figure whose faith and moral perspective influence the story’s events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Father Storey
Target entity description: Father Storey is a character in the novel "The Fireman," likely serving as a religious figure whose faith and moral perspective influence the story’s events.
  • A. Frank Parrish
    Frank Parrish is a fictional character portrayed by actor Tim Reid, likely in a film or television production.
  • B. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • C. Henry McMorran
    Henry McMorran was a prominent local figure and benefactor in Port Huron, Michigan, whose contributions to the community led to the city’s main event center being named in his honor.
  • D. Thomas Shepherd
    Thomas Shepherd is an author known for writing the story for the film "Dolittle."
  • E. Mr. Fletcher
    Mr. Fletcher is the video store owner in the comedy film "Be Kind Rewind," around whose struggling VHS rental shop the movie’s events and homemade remakes revolve.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f648e10819081ad1fed870b2b86 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9596891c81909296050d0a8117ca completed April 1, 2026, 10 p.m.
NEDg Description generation batch_69cdab5f30b0819080136084d81774a9 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2d365e48190a766ca959ce56b19 completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:55 p.m.