Triple

T15045649
Position Surface form Disambiguated ID Type / Status
Subject Gorgon City E379217 entity
Predicate notableWork P4 FINISHED
Object Saving My Life
"Saving My Life" is a dance/electronic track by British production duo Gorgon City, known for its catchy vocal hooks and club-ready house sound.
 E1133847 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: Saving My Life | Statement: [Gorgon City, notableWork, Saving My Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saving My Life
Context triple: [Gorgon City, notableWork, Saving My Life]
  • A. Save My Life
    "Save My Life" is a song by British singer-songwriter Celia, known for its emotive vocals and contemporary pop production.
  • B. Save Me
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • C. Save Me
    "Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • D. Save Me
    "Save Me" is a critically acclaimed song by American singer-songwriter Aimee Mann, best known for its prominent use in the film *Magnolia* and its nomination for the Academy Award for Best Original Song.
  • E. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • 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: Saving My Life
Triple: [Gorgon City, notableWork, Saving My Life]
Generated description
"Saving My Life" is a dance/electronic track by British production duo Gorgon City, known for its catchy vocal hooks and club-ready house sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saving My Life
Target entity description: "Saving My Life" is a dance/electronic track by British production duo Gorgon City, known for its catchy vocal hooks and club-ready house sound.
  • A. Save My Life
    "Save My Life" is a song by British singer-songwriter Celia, known for its emotive vocals and contemporary pop production.
  • B. Save Me
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • C. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • D. Save Me
    "Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • E. Save Me
    "Save Me" is a critically acclaimed song by American singer-songwriter Aimee Mann, best known for its prominent use in the film *Magnolia* and its nomination for the Academy Award for Best Original Song.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de54380819084568664b63322d2 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fea0791f1c81908dcad401fa3ac245 completed May 9, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69fea11a35a88190a5ad6f261fd2d9dc completed May 9, 2026, 2:51 a.m.
Created at: April 10, 2026, 3 a.m.