Triple

T3138340
Position Surface form Disambiguated ID Type / Status
Subject Adam Levine E65584 entity
Predicate notableWork P4 FINISHED
Object Payphone E267756 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: Payphone | Statement: [Adam Levine, notableWork, Payphone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Payphone
Context triple: [Adam Levine, notableWork, Payphone]
  • A. Payphone chosen
    "Payphone" is a 2012 pop song by Maroon 5 featuring rapper Wiz Khalifa, known for its catchy chorus and themes of heartbreak and regret.
  • B. 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.
  • C. Phone Booth
    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.
  • 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. Mr. Telephone Man
    "Mr. Telephone Man" is a 1984 R&B single by New Edition, known for its catchy melody and narrative about phone-line heartbreak.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8b2ae4819085210a722e8650ca completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.