Triple

T23492520
Position Surface form Disambiguated ID Type / Status
Subject The Pretenders E570713 entity
Predicate hasPart P35 FINISHED
Object Get Close (album)
Get Close is a 1986 studio album by British-American rock band The Pretenders, noted for its polished production and hit singles like "Don't Get Me Wrong."
 E1587768 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: Get Close (album) | Statement: [The Pretenders, hasPart, Get Close (album)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Get Close (album)
Context triple: [The Pretenders, hasPart, Get Close (album)]
  • A. Up Close
    Up Close is a sports interview television program hosted by Chris Myers that features in-depth conversations with prominent athletes and sports figures.
  • B. Getting Closer
    "Getting Closer" is a rock song by Paul McCartney and Wings, released in 1979 and known as one of the singles from their album Back to the Egg.
  • 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: Get Close (album)
Triple: [The Pretenders, hasPart, Get Close (album)]
Generated description
Get Close is a 1986 studio album by British-American rock band The Pretenders, noted for its polished production and hit singles like "Don't Get Me Wrong."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Get Close (album)
Target entity description: Get Close is a 1986 studio album by British-American rock band The Pretenders, noted for its polished production and hit singles like "Don't Get Me Wrong."
  • A. Up Close
    Up Close is a sports interview television program hosted by Chris Myers that features in-depth conversations with prominent athletes and sports figures.
  • B. Getting Closer
    "Getting Closer" is a rock song by Paul McCartney and Wings, released in 1979 and known as one of the singles from their album Back to the Egg.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dd56408190b459077e433ed1c3 completed April 29, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c826ff3848190a3cdf82c26b6e22e completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f159488190bcde44676ddce593 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca754878c8190a918fa3b349fd970 completed May 19, 2026, 6:09 p.m.
Created at: April 17, 2026, 6:05 p.m.