Triple

T22090125
Position Surface form Disambiguated ID Type / Status
Subject Shootout at Candyland E545890 entity
Predicate involvesCharacter P15562 FINISHED
Object Stephen NE NERFINISHED

How this triple was built (3 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: Stephen | Statement: [Shootout at Candyland, involvesCharacter, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen
Context triple: [Shootout at Candyland, involvesCharacter, Stephen]
  • A. Stephen
    Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
  • B. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • C. Stephen
    Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
  • D. Stephen
    Stephen is the given name of Stephen Marley, a Jamaican musician and son of reggae legend Bob Marley.
  • E. Stephen
    Stephen is the first name of Steve Ditko, the influential American comic book artist and co-creator of Spider-Man and Doctor Strange.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stephen
Target entity description: Stephen is a character in the film "Django Unchained," portrayed as a loyal yet manipulative house slave who serves as a key antagonist.
  • A. Stephen chosen
    Stephen is a pivotal supporting character in Quentin Tarantino's film "Django Unchained," portrayed as the fiercely loyal and manipulative house slave of plantation owner Calvin Candie.
  • B. Stephen
    Stephen is the central protagonist of the film "Empire of Light," around whom the story’s emotional and social themes revolve.
  • C. Stephen
    Stephen is a supporting character in the 2006 romantic dramedy film "The Last Kiss," involved in the intertwined relationship and life crises of the main group of friends.
  • D. Stephen
    Stephen is a central character in Terrence McNally’s play *The Lisbon Traviata*, a darkly comic drama about obsession, relationships, and opera fandom.
  • E. Stephen
    Stephen is a supporting character in the BET sitcom "Zoe Ever After," involved in the personal and professional life of the show's protagonist, Zoe.
  • F. None of above.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e53dfc81909858cdad8b09c5fb completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.