Triple

T22670358
Position Surface form Disambiguated ID Type / Status
Subject Road to Ruin E559901 entity
Predicate hasPart P35 FINISHED
Object Don’t Come Close 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: Don’t Come Close | Statement: [Road to Ruin, hasPart, Don’t Come Close]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don’t Come Close
Context triple: [Road to Ruin, hasPart, Don’t Come Close]
  • A. Don’t Come Close chosen
    "Don’t Come Close" is a song by the American punk rock band Ramones, featured on their 1978 album "Road to Ruin."
  • B. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • C. So Close
    "So Close" is a popular electronic dance track by German DJ and producer Felix Jaehn, known for its catchy melody and radio-friendly sound.
  • D. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • E. Too Close
    "Too Close" is a musical track featured on the soundtrack of the 2012 science fiction film "Prometheus," composed by Marc Streitenfeld.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781f946c8190add74a7dac2b1819 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.