Triple

T14080822
Position Surface form Disambiguated ID Type / Status
Subject Get Stoned E338860 entity
Predicate follows P134 FINISHED
Object Far From Close
Far From Close is the debut studio album by Canadian rock band Hinder, showcasing their early post-grunge and hard rock sound.
 E1078242 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: Far From Close | Statement: [Get Stoned, follows, Far From Close]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Far From Close
Context triple: [Get Stoned, follows, Far From Close]
  • A. So Near and Yet So Far
    "So Near and Yet So Far" is a popular song from the 1941 musical film "You'll Never Get Rich," featuring music by Cole Porter and performed by Fred Astaire.
  • 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. Far from Over
    "Far from Over" is a 1983 rock song by Frank Stallone that gained popularity as part of the soundtrack for the film "Staying Alive."
  • 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: Far From Close
Triple: [Get Stoned, follows, Far From Close]
Generated description
Far From Close is the debut studio album by Canadian rock band Hinder, showcasing their early post-grunge and hard rock sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Far From Close
Target entity description: Far From Close is the debut studio album by Canadian rock band Hinder, showcasing their early post-grunge and hard rock sound.
  • A. So Near and Yet So Far
    "So Near and Yet So Far" is a popular song from the 1941 musical film "You'll Never Get Rich," featuring music by Cole Porter and performed by Fred Astaire.
  • 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. Far from Over
    "Far from Over" is a 1983 rock song by Frank Stallone that gained popularity as part of the soundtrack for the film "Staying Alive."
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6749c3c81909833a0b6ddcae3fb completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc44b8f3c8190a7dc5a98239be1a5 completed May 7, 2026, 4:56 p.m.
NED2 Entity disambiguation (via description) batch_69fcc4d99f608190a6dddfda19bf0685 completed May 7, 2026, 4:59 p.m.
Created at: April 9, 2026, 10:21 p.m.