Triple

T12284691
Position Surface form Disambiguated ID Type / Status
Subject Kamikaze E292798 entity
Predicate isRelatedCocktail P87426 FINISHED
Object Lemon Drop
Lemon Drop is a sweet-and-tart vodka-based cocktail, typically made with lemon juice, triple sec, and simple syrup, and often served in a sugar-rimmed glass.
 E974822 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: Lemon Drop | Statement: [Kamikaze, isRelatedCocktail, Lemon Drop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lemon Drop
Context triple: [Kamikaze, isRelatedCocktail, Lemon Drop]
  • A. Lemon Drop Kid
    Lemon Drop Kid is a champion American Thoroughbred racehorse and successful sire known for winning the 1999 Belmont Stakes and Travers Stakes.
  • B. Lemonhead
    "Lemonhead" is a track by Tyler, the Creator from his album *Call Me If You Get Lost*, known for its energetic production and dynamic flow.
  • C. The Lemon Drop Kid
    The Lemon Drop Kid is a 1951 Christmas-themed comedy film starring Bob Hope, best known today for popularizing the holiday song "Silver Bells."
  • D. Candy
    Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
  • E. Candy
    Candy is a fictional character who appears in the setting known as Candy's Room.
  • 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: Lemon Drop
Triple: [Kamikaze, isRelatedCocktail, Lemon Drop]
Generated description
Lemon Drop is a sweet-and-tart vodka-based cocktail, typically made with lemon juice, triple sec, and simple syrup, and often served in a sugar-rimmed glass.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lemon Drop
Target entity description: Lemon Drop is a sweet-and-tart vodka-based cocktail, typically made with lemon juice, triple sec, and simple syrup, and often served in a sugar-rimmed glass.
  • A. Lemon Drop Kid
    Lemon Drop Kid is a champion American Thoroughbred racehorse and successful sire known for winning the 1999 Belmont Stakes and Travers Stakes.
  • B. Lemonhead
    "Lemonhead" is a track by Tyler, the Creator from his album *Call Me If You Get Lost*, known for its energetic production and dynamic flow.
  • C. The Lemon Drop Kid
    The Lemon Drop Kid is a 1951 Christmas-themed comedy film starring Bob Hope, best known today for popularizing the holiday song "Silver Bells."
  • D. Candy
    Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
  • E. Candy
    Candy is a fictional character who appears in the setting known as Candy's Room.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7315608190963c714a0b128dbb completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f9386548190a749445a404db3a2 completed May 2, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69f6207f164c8190b663a50ee3c761d6 completed May 2, 2026, 4:04 p.m.
Created at: April 8, 2026, 9:52 p.m.