Triple

T15798639
Position Surface form Disambiguated ID Type / Status
Subject The Make-Up E383043 entity
Predicate hasAlbum P1995 FINISHED
Object Save Yourself
"Save Yourself" is a studio album by the American post-punk band The Make-Up, showcasing their distinctive blend of garage rock, soul, and political lyricism.
 E1177139 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 Yourself | Statement: [The Make-Up, hasAlbum, Save Yourself]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Save Yourself
Context triple: [The Make-Up, hasAlbum, Save Yourself]
  • A. Save Yourself
    "Save Yourself" is a dark, character-driven suspense novel by American author Kelly Braffet that explores damaged lives, family dysfunction, and moral ambiguity in a small-town setting.
  • B. Save You
    "Save You" is a song by the American rock band Pearl Jam, featured on their 2002 album *Riot Act*.
  • 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 British drama television series created by and starring Lennie James, centered on a father's desperate search for his missing daughter.
  • E. Save Me
    "Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
  • 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 Yourself
Triple: [The Make-Up, hasAlbum, Save Yourself]
Generated description
"Save Yourself" is a studio album by the American post-punk band The Make-Up, showcasing their distinctive blend of garage rock, soul, and political lyricism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Save Yourself
Target entity description: "Save Yourself" is a studio album by the American post-punk band The Make-Up, showcasing their distinctive blend of garage rock, soul, and political lyricism.
  • A. Save Yourself
    "Save Yourself" is a dark, character-driven suspense novel by American author Kelly Braffet that explores damaged lives, family dysfunction, and moral ambiguity in a small-town setting.
  • B. Save You
    "Save You" is a song by the American rock band Pearl Jam, featured on their 2002 album *Riot Act*.
  • 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 British drama television series created by and starring Lennie James, centered on a father's desperate search for his missing daughter.
  • E. Save Me
    "Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e00d348190bc98917c4098ec2f completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b08ab48190892c700f5eb261d8 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff936cbbc8819097958ac02673a474 completed May 9, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 4:48 a.m.