Triple

T6043897
Position Surface form Disambiguated ID Type / Status
Subject Matthew Libatique E134616 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: [Matthew Libatique, notableWork, Phone Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phone Booth
Context triple: [Matthew Libatique, 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 (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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139b44888190bfa12d19e99ee673 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.