Triple

T2915323
Position Surface form Disambiguated ID Type / Status
Subject Colin Farrell E78591 entity
Predicate notableWork P4 FINISHED
Object Phone Booth E208348 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: Phone Booth | Statement: [Colin Farrell, notableWork, Phone Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phone Booth
Context triple: [Colin Farrell, notableWork, Phone Booth]
  • A. Phone Booth chosen
    Phone Booth is a 2002 psychological thriller film centered on a man trapped in a New York City phone booth by a sniper who threatens to kill him if he hangs up.
  • B. Payphone
    "Payphone" is a 2012 pop song by Maroon 5 featuring rapper Wiz Khalifa, known for its catchy chorus and themes of heartbreak and regret.
  • C. Dial Press
    Dial Press is an American publishing imprint known for releasing notable works of literary fiction and nonfiction.
  • D. The Phone Booth
    The Phone Booth is a nickname for the MCI Center, a former multi-purpose sports and entertainment arena in Washington, D.C.
  • E. Telephone City
    Telephone City is the nickname of Brantford, Ontario, reflecting its historical association with Alexander Graham Bell and the early development of the telephone.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a1a9f8819095fe3198e9d3f6b0 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056249b5c8190b388088bf047616f completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:50 p.m.