Triple

T18820645
Position Surface form Disambiguated ID Type / Status
Subject Van Helsing (2004 film) E460252 entity
Predicate mainCharacter P1183 FINISHED
Object Carl
Carl is a comedic friar and inventive sidekick who equips and assists monster hunter Van Helsing in the 2004 action-horror film "Van Helsing."
E870938 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: Carl | Statement: [Van Helsing (2004 film), mainCharacter, Carl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl
Context triple: [Van Helsing (2004 film), mainCharacter, Carl]
  • A. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • B. Carl
    Carl is the given name of the influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
  • C. Carl
    Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
  • D. Carl
    Carl is the given name of Carl Gotthard Langhans, the Prussian architect best known for designing Berlin’s Brandenburg Gate.
  • E. Carl
    Carl Flesch was a renowned Hungarian violinist and influential pedagogue known for his technical mastery and seminal instructional works on violin playing.
  • 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: Carl
Triple: [Van Helsing (2004 film), mainCharacter, Carl]
Generated description
Carl is a comedic friar and inventive sidekick who equips and assists monster hunter Van Helsing in the 2004 action-horror film "Van Helsing."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carl
Target entity description: Carl is a comedic friar and inventive sidekick who equips and assists monster hunter Van Helsing in the 2004 action-horror film "Van Helsing."
  • A. Carl chosen
    Carl is a supporting character in the film "Van Helsing," depicted as a witty and inventive friar who aids the titular monster hunter.
  • B. Carl
    Carl is a central character in the fantasy-comedy television series "Special Unit 2," which follows a secret police unit that hunts mythological creatures in Chicago.
  • C. Carl
    Carl is a supporting character in the classic film "Casablanca," working at Rick Blaine's nightclub, Rick's Café Américain.
  • D. Carl
    Carl is the protagonist of the psychological horror video game "The Coma," navigating a nightmarish version of his school while uncovering dark secrets.
  • E. Carl
    Carl is a central character in the British comedy film "The Boat That Rocked," portrayed as a young man who joins a pirate radio ship in the 1960s and comes of age amid its rebellious DJs and rock music culture.
  • F. None of above.

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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b9be988190b5e3804c39dc7dd9 completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bcc75e0819089a03d82965d3721 completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055d9a9da88190b974e8803ca8537f completed May 14, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_6a055e1a22308190bb7f2337fabc5bdf completed May 14, 2026, 5:31 a.m.
Created at: April 10, 2026, 11:55 a.m.