Triple

T16056469
Position Surface form Disambiguated ID Type / Status
Subject The Devil’s Carnival E389492 entity
Predicate featuresCharacter P626 FINISHED
Object John
John is a character in the horror-musical film series "The Devil’s Carnival," set within its dark, carnival-themed underworld.
E1193722 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: John | Statement: [The Devil’s Carnival, featuresCharacter, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [The Devil’s Carnival, featuresCharacter, John]
  • A. John
    John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • B. John
    John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • 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: John
Triple: [The Devil’s Carnival, featuresCharacter, John]
Generated description
John is a character in the horror-musical film series "The Devil’s Carnival," set within its dark, carnival-themed underworld.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is a character in the horror-musical film series "The Devil’s Carnival," set within its dark, carnival-themed underworld.
  • A. John
    John is a central character in the romantic comedy film "Happiest Season," serving as a key figure in the story’s exploration of relationships and family dynamics.
  • B. John
    John is an alternative given name used by the character Jake Chambers, a central figure in Stephen King’s The Dark Tower series.
  • C. John
    John is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie," portrayed in the series' distinctive absurd and witty style.
  • D. John
    John is the given name of American actor John Miljan, who was known for his prolific work in early Hollywood films, often portraying suave villains and authority figures.
  • E. John
    John is the given name of John Witherspoon, an American actor and comedian best known for his roles in the "Friday" film series and the television show "The Wayans Bros."
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837579488190964ca004c2eb01c4 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb8b1b2c8190949943b20f2f8574 completed May 10, 2026, 2:20 a.m.
NEDg Description generation batch_69ffec06b344819093f164f15f104717 completed May 10, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffec9fc93881909b80bbfe324ebc2c completed May 10, 2026, 2:25 a.m.
Created at: April 10, 2026, 4:56 a.m.