Triple

T9820576
Position Surface form Disambiguated ID Type / Status
Subject Blue E238519 entity
Predicate includesSingle P11236 FINISHED
Object Too Close
"Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
 E823834 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: Too Close | Statement: [Blue, includesSingle, Too Close]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Too Close
Context triple: [Blue, includesSingle, Too Close]
  • A. Too Close
    "Too Close" is a 2011 electro-soul song by British singer Alex Clare that gained widespread popularity after being featured in a major Internet Explorer commercial.
  • B. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • 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. 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. Don’t Get Too Close
    Don’t Get Too Close is a 2023 studio album by American electronic music producer Skrillex that blends dubstep, pop, and experimental electronic styles with numerous vocal collaborations.
  • 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: Too Close
Triple: [Blue, includesSingle, Too Close]
Generated description
"Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Too Close
Target entity description: "Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
  • A. Too Close
    "Too Close" is a 2011 electro-soul song by British singer Alex Clare that gained widespread popularity after being featured in a major Internet Explorer commercial.
  • B. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • 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. 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. Don’t Get Too Close
    Don’t Get Too Close is a 2023 studio album by American electronic music producer Skrillex that blends dubstep, pop, and experimental electronic styles with numerous vocal collaborations.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb313134081908eb0ba3a22b22e2b completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc78ffcc8190bb26a224350376dc completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd8e7c548190bc3f10004db80925 completed April 5, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69d1ce1aead081908da4a85ded350c17 completed April 5, 2026, 2:51 a.m.
Created at: March 30, 2026, 8:31 p.m.