Triple

T22273092
Position Surface form Disambiguated ID Type / Status
Subject Paula Jai Parker E550527 entity
Predicate notableWork P4 FINISHED
Object Phone Booth 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: Phone Booth | Statement: [Paula Jai Parker, notableWork, Phone Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phone Booth
Context triple: [Paula Jai Parker, 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. Telefon Bay
    Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
  • D. Dial Press
    Dial Press is an American publishing imprint known for releasing notable works of literary fiction and nonfiction.
  • E. Telefon
    "Telefon" is a 1977 Cold War espionage thriller film starring Charles Bronson, directed by Don Siegel, about a Soviet plot involving sleeper agents in the United States.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.