Triple

T17439539
Position Surface form Disambiguated ID Type / Status
Subject Here's to the Good Times E424110 entity
Predicate notableWork P4 FINISHED
Object Cruise NE NERFINISHED

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: Cruise | Statement: [Here's to the Good Times, notableWork, Cruise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cruise
Context triple: [Here's to the Good Times, notableWork, Cruise]
  • A. Cruise chosen
    "Cruise" is the breakout debut single by country duo Florida Georgia Line that became a massive crossover hit and helped popularize the bro-country sound in the early 2010s.
  • B. Cruise
    Cruise is the surname of Tom Cruise, the American actor and producer renowned for his roles in blockbuster films such as the "Mission: Impossible" series.
  • C. Cruise
    Cruise is an autonomous vehicle technology company focused on developing and deploying self-driving cars, particularly for ride-hailing services in urban environments.
  • D. The Cruise
    "The Cruise" is a reggae track by Burning Spear from his album *Jah Is Real*, showcasing his roots sound and spiritual, Rastafarian themes.
  • E. Cruising
    "Cruising" is a 1980 crime thriller film directed by William Friedkin, starring Al Pacino as a detective who goes undercover in New York City's gay leather subculture to catch a serial killer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff63e5481908a3ea0aa221360c5 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.