Triple

T20371433
Position Surface form Disambiguated ID Type / Status
Subject Danny Says E497063 entity
Predicate hasTitleCharacter P5716 FINISHED
Object Danny
Danny is a fictional character who serves as the central figure in the work "Danny Says."
E1427184 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: Danny | Statement: [Danny Says, hasTitleCharacter, Danny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny
Context triple: [Danny Says, hasTitleCharacter, Danny]
  • A. Danny
    Danny is the young, psychically gifted son of Jack Torrance in Stephen King’s horror novel "The Shining" and its film adaptations.
  • B. Danny
    Danny is the central protagonist of the film "Lowriders," a young man torn between his passion for street art and the expectations of his lowrider-obsessed family in East Los Angeles.
  • C. Danny
    Danny is the central protagonist of the British television drama-thriller "London Spy," a young gay man drawn into a complex and dangerous espionage conspiracy after the mysterious death of his lover.
  • D. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • E. Danny
    Danny is the charismatic, hard-drinking World War I veteran whose inherited houses and loose community of friends drive the picaresque adventures in John Steinbeck’s novel "Tortilla Flat."
  • 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: Danny
Triple: [Danny Says, hasTitleCharacter, Danny]
Generated description
Danny is a fictional character who serves as the central figure in the work "Danny Says."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danny
Target entity description: Danny is a fictional character who serves as the central figure in the work "Danny Says."
  • A. Danny
    Danny is a fictional character from the musical "Proud Mary."
  • B. Danny
    Danny is the central protagonist of the horror novel "The Keep," around whom the story’s supernatural and psychological conflicts revolve.
  • C. Danny
    Danny is a person known primarily as a friend of Jesus Maria.
  • D. Danny
    Danny is the central character in the short story "In the Gloaming," around whom the narrative’s emotional and thematic developments revolve.
  • E. Danny
    Danny is the central protagonist of the film "Lowriders," a young man torn between his passion for street art and the expectations of his lowrider-obsessed family in East Los Angeles.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678769f9c81909a52ef3c43e6064d completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08708f2b00819084806af8cf9c9e10 completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a08717357a881908ba83d104fc3f228 completed May 16, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a087267236c81908c91359f270fb17e completed May 16, 2026, 1:34 p.m.
Created at: April 16, 2026, 11:26 a.m.