Triple

T21309274
Position Surface form Disambiguated ID Type / Status
Subject Tony Slattery E525284 entity
Predicate appearedIn P795 FINISHED
Object Carry On Columbus 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: Carry On Columbus | Statement: [Tony Slattery, appearedIn, Carry On Columbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carry On Columbus
Context triple: [Tony Slattery, appearedIn, Carry On Columbus]
  • A. Carry On Columbus chosen
    Carry On Columbus is a 1992 British comedy film in the long-running "Carry On" series, parodying Christopher Columbus’s voyage to the New World.
  • B. Columbus Quest
    Columbus Quest was a professional women's basketball team based in Columbus, Ohio that competed in the short-lived American Basketball League in the late 1990s.
  • C. Giornata di Colombo
    Giornata di Colombo is the Italian name for Columbus Day, a holiday commemorating Christopher Columbus’s arrival in the Americas.
  • D. Carry On
    Carry On is a music album best known for including the track "Disappearing Act."
  • E. Carry On
    "Carry On" is a hit single by the American indie pop band Fun., known for its anthemic sound and uplifting, resilient lyrics.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa916548190a11f8bb4255e3fed completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:06 p.m.