Triple

T14624244
Position Surface form Disambiguated ID Type / Status
Subject History for Sale E343303 entity
Predicate hasPart P35 FINISHED
Object Come in Closer
"Come in Closer" is a song by the American rock band Blue October, featured on their album "History for Sale."
 E1110470 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: Come in Closer | Statement: [History for Sale, hasPart, Come in Closer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Come in Closer
Context triple: [History for Sale, hasPart, Come in Closer]
  • A. 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.
  • B. 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.
  • C. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • D. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • E. 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.
  • 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: Come in Closer
Triple: [History for Sale, hasPart, Come in Closer]
Generated description
"Come in Closer" is a song by the American rock band Blue October, featured on their album "History for Sale."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Come in Closer
Target entity description: "Come in Closer" is a song by the American rock band Blue October, featured on their album "History for Sale."
  • A. 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.
  • B. 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.
  • C. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • D. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • E. 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.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9288e748190bf65a01803265a73 completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb27c8db481909330d299faded4f3 completed May 8, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69fdb3b24320819098dd7fab0c3a0507 completed May 8, 2026, 9:58 a.m.
Created at: April 10, 2026, 1:26 a.m.