Triple

T10676961
Position Surface form Disambiguated ID Type / Status
Subject 8 Million Ways to Die E251644 entity
Predicate character P662 FINISHED
Object Sunny
Sunny is a central character in the crime drama "8 Million Ways to Die," serving as a key figure in the film’s gritty narrative of murder, addiction, and moral ambiguity.
 E878688 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: Sunny | Statement: [8 Million Ways to Die, character, Sunny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sunny
Context triple: [8 Million Ways to Die, character, Sunny]
  • A. Sunny
    Sunny is one of the Obama family’s pet dogs, a female Portuguese Water Dog who lived with them in the White House.
  • B. Sunny
    "Sunny" is a 1925 Broadway musical comedy with music by Jerome Kern that became one of his popular stage successes of the era.
  • C. Sunny
    Sunny Sandler is an American child actress and the daughter of comedian and actor Adam Sandler.
  • D. Breezy
    Breezy is a 1973 romantic drama film directed by Clint Eastwood about a free-spirited young woman who forms an unlikely relationship with a middle-aged man.
  • E. “Sunny”
    “Sunny” is a popular song composed by Bobby Hebb that has been widely covered by numerous artists, including a notable version associated with Jerry Ross.
  • 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: Sunny
Triple: [8 Million Ways to Die, character, Sunny]
Generated description
Sunny is a central character in the crime drama "8 Million Ways to Die," serving as a key figure in the film’s gritty narrative of murder, addiction, and moral ambiguity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sunny
Target entity description: Sunny is a central character in the crime drama "8 Million Ways to Die," serving as a key figure in the film’s gritty narrative of murder, addiction, and moral ambiguity.
  • A. Sunny
    Sunny is one of the Obama family’s pet dogs, a female Portuguese Water Dog who lived with them in the White House.
  • B. Sunny
    "Sunny" is a 1925 Broadway musical comedy with music by Jerome Kern that became one of his popular stage successes of the era.
  • C. Sunny
    Sunny Sandler is an American child actress and the daughter of comedian and actor Adam Sandler.
  • D. Breezy
    Breezy is a 1973 romantic drama film directed by Clint Eastwood about a free-spirited young woman who forms an unlikely relationship with a middle-aged man.
  • E. “Sunny”
    “Sunny” is a popular song composed by Bobby Hebb that has been widely covered by numerous artists, including a notable version associated with Jerry Ross.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9887e974c81908c4943339ea9a93f completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aea391c81909ec64a29053c35c1 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c013348819094bde38a057257b4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:09 p.m.