Triple

T20309614
Position Surface form Disambiguated ID Type / Status
Subject Simon Heath E510200 entity
Predicate notableWork P4 FINISHED
Object Save Me
"Save Me" is a dark ambient music album by Swedish composer Simon Heath, known for its atmospheric soundscapes and cinematic, immersive style.
 E1424198 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: Save Me | Statement: [Simon Heath, notableWork, Save Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Save Me
Context triple: [Simon Heath, notableWork, Save Me]
  • A. Save Me
    Save Me is a British drama television series created by and starring Lennie James, centered on a father's desperate search for his missing daughter.
  • B. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • C. Save Me
    "Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
  • D. Save Me
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • E. 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.
  • 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: Save Me
Triple: [Simon Heath, notableWork, Save Me]
Generated description
"Save Me" is a dark ambient music album by Swedish composer Simon Heath, known for its atmospheric soundscapes and cinematic, immersive style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Save Me
Target entity description: "Save Me" is a dark ambient music album by Swedish composer Simon Heath, known for its atmospheric soundscapes and cinematic, immersive style.
  • A. Save Me
    "Save Me" is a song by American singer-songwriter Ryan Adams from his 2011 album *Ashes & Fire*, showcasing his introspective lyrics and mellow, folk-rock style.
  • 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 song by South Korean singer Taeyeon from her album "Ytilaer," showcasing her emotive vocals and introspective pop style.
  • 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 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6774286a88190800d6b062f3d7a9f completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612051088190b68a6107eb941655 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a086255182881908eeaa49d34bf3ba5 completed May 16, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08635869148190992d75a8806f767c completed May 16, 2026, 12:30 p.m.
Created at: April 16, 2026, 11:18 a.m.