Triple

T5255175
Position Surface form Disambiguated ID Type / Status
Subject Road to Ruin E118680 entity
Predicate hasPart P35 FINISHED
Object Don’t Come Close
"Don’t Come Close" is a song by the American punk rock band Ramones, featured on their 1978 album "Road to Ruin."
 E506718 NE FINISHED

How this triple was built (4 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. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • B. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • C. Come a Little Bit Closer
    "Come a Little Bit Closer" is a 1964 pop hit song by Jay and the Americans, known for its storytelling lyrics and Latin-flavored arrangement.
  • D. Come Closer
    "Come Closer" is a hit Afrobeats single by Nigerian artist Wizkid featuring Drake, known for its fusion of Afrobeat and dancehall and its international chart success.
  • E. The Come On
    "The Come On" is a 1956 film noir crime drama starring Sterling Hayden, known for its tale of deception, murder, and double-crosses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Don’t Come Close
Triple: [Road to Ruin, hasPart, Don’t Come Close]
Generated description
"Don’t Come Close" is a song by the American punk rock band Ramones, featured on their 1978 album "Road to Ruin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don’t Come Close
Target entity description: "Don’t Come Close" is a song by the American punk rock band Ramones, featured on their 1978 album "Road to Ruin."
  • A. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • B. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • C. Come a Little Bit Closer
    "Come a Little Bit Closer" is a 1964 pop hit song by Jay and the Americans, known for its storytelling lyrics and Latin-flavored arrangement.
  • D. Come Closer
    "Come Closer" is a hit Afrobeats single by Nigerian artist Wizkid featuring Drake, known for its fusion of Afrobeat and dancehall and its international chart success.
  • E. The Come On
    "The Come On" is a 1956 film noir crime drama starring Sterling Hayden, known for its tale of deception, murder, and double-crosses.
  • F. None of above. chosen

Provenance (5 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7a1f448190acfcdfe37c962028 completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff55faec8190a75a1b5f339a2c20 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf001f0d9c8190a67909a06ea41898 completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.