Triple

T12877178
Position Surface form Disambiguated ID Type / Status
Subject Gina Gershon E307998 entity
Predicate notableWork P4 FINISHED
Object Cocktail E308002 NE FINISHED

How this triple was built (2 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: Cocktail | Statement: [Gina Gershon, notableWork, Cocktail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cocktail
Context triple: [Gina Gershon, notableWork, Cocktail]
  • A. Cocktail
    Cocktail is a 2012 Hindi romantic drama film known for its contemporary love triangle, stylish urban setting, and one of Deepika Padukone’s most acclaimed performances.
  • B. Cocktail chosen
    "Cocktail" is a 1988 romantic drama film starring Tom Cruise as an ambitious bartender whose flair for showy drink-mixing leads to personal and romantic complications.
  • C. Mixology
    Mixology is a 2013 American television sitcom created by Jon Lucas and Scott Moore that follows a group of singles over the course of one night at a trendy Manhattan bar.
  • D. Martini
    Martini is a common Italian surname shared by various notable individuals in fields such as acting, sports, and politics.
  • E. Rum Punch
    Rum Punch is a crime novel by Elmore Leonard that follows a flight attendant entangled in a smuggling scheme, later adapted into Quentin Tarantino’s film "Jackie Brown."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.