Triple

T15377941
Position Surface form Disambiguated ID Type / Status
Subject Walk with Me E367717 entity
Predicate hasTrack P3284 FINISHED
Object Pain
"Pain" is a track from the television soundtrack album "Walk with Me," likely contributing a somber or emotionally intense mood to the collection.
 E1152752 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: Pain | Statement: [Walk with Me, hasTrack, Pain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pain
Context triple: [Walk with Me, hasTrack, Pain]
  • A. Pain
    "Pain" is a standout track by Pusha T that showcases his gritty lyricism and dark, minimalist production.
  • B. Daroobalgie
    Daroobalgie is a rural locality in the Central West region of New South Wales, Australia.
  • C. Painavu
    Painavu is a small town in the Indian state of Kerala that serves as the administrative center of the surrounding high-range Idukki region.
  • D. "Pain"
    "Pain" is a song by American singer-songwriter Muni Long, known for its emotive lyrics and R&B-influenced sound.
  • E. The Challenge of Pain
    The Challenge of Pain is a seminal book by neuroscientist Patrick Wall that explores the science, psychology, and treatment of human pain.
  • 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: Pain
Triple: [Walk with Me, hasTrack, Pain]
Generated description
"Pain" is a track from the television soundtrack album "Walk with Me," likely contributing a somber or emotionally intense mood to the collection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pain
Target entity description: "Pain" is a track from the television soundtrack album "Walk with Me," likely contributing a somber or emotionally intense mood to the collection.
  • A. Pain
    "Pain" is a standout track by Pusha T that showcases his gritty lyricism and dark, minimalist production.
  • B. Daroobalgie
    Daroobalgie is a rural locality in the Central West region of New South Wales, Australia.
  • C. Painavu
    Painavu is a small town in the Indian state of Kerala that serves as the administrative center of the surrounding high-range Idukki region.
  • D. "Pain"
    "Pain" is a song by American singer-songwriter Muni Long, known for its emotive lyrics and R&B-influenced sound.
  • E. The Challenge of Pain
    The Challenge of Pain is a seminal book by neuroscientist Patrick Wall that explores the science, psychology, and treatment of human pain.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5ece1081908d7c1289258b9c1f completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b56dd1c81909a3933330e85fe0e completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0c1fd2dc8190934b21837f0d8689 completed May 9, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c81636c81909536e69b48c5c400 completed May 9, 2026, 10:29 a.m.
Created at: April 10, 2026, 3:18 a.m.