Triple

T9427875
Position Surface form Disambiguated ID Type / Status
Subject Post E227300 entity
Predicate hasTrack P3284 FINISHED
Object Army of Me
"Army of Me" is a dark, industrial-influenced electronic rock song by Björk, known for its driving beat and themes of self-reliance and emotional toughness.
E799992 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: Army of Me | Statement: [Post, hasTrack, Army of Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Army of Me
Context triple: [Post, hasTrack, Army of Me]
  • A. Army of Me
    "Army of Me" is a pop song by Christina Aguilera from her 2012 album *Lotus*, noted for its empowering, resilient lyrics and anthemic production.
  • B. Piece of Me
    "Piece of Me" is a 2007 electropop single by Britney Spears that critiques media scrutiny of her personal life and became one of her signature songs.
  • C. Of the Girl
    "Of the Girl" is a moody, atmospheric rock song by Pearl Jam from their 2000 album "Binaural."
  • D. She’s Not Me
    "She’s Not Me" is a song by Swedish singer-songwriter Lykke Li from her 2014 album *I Never Learn*, known for its melancholic tone and themes of heartbreak and emotional vulnerability.
  • E. She’s Not Me
    "She’s Not Me" is a pop song by Swedish singer Tove Lo from her debut studio album "Queen of the Clouds."
  • 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: Army of Me
Triple: [Post, hasTrack, Army of Me]
Generated description
"Army of Me" is a dark, industrial-influenced electronic rock song by Björk, known for its driving beat and themes of self-reliance and emotional toughness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Army of Me
Target entity description: "Army of Me" is a dark, industrial-influenced electronic rock song by Björk, known for its driving beat and themes of self-reliance and emotional toughness.
  • A. Army of Me
    "Army of Me" is a pop song by Christina Aguilera from her 2012 album *Lotus*, noted for its empowering, resilient lyrics and anthemic production.
  • B. Piece of Me
    "Piece of Me" is a 2007 electropop single by Britney Spears that critiques media scrutiny of her personal life and became one of her signature songs.
  • C. Of the Girl
    "Of the Girl" is a moody, atmospheric rock song by Pearl Jam from their 2000 album "Binaural."
  • D. She’s Not Me
    "She’s Not Me" is a song by Swedish singer-songwriter Lykke Li from her 2014 album *I Never Learn*, known for its melancholic tone and themes of heartbreak and emotional vulnerability.
  • E. She’s Not Me
    "She’s Not Me" is a pop song by Swedish singer Tove Lo from her debut studio album "Queen of the Clouds."
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c91ba1c8190b8331fb1ba58cc61 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11034369c81908992e268e66d7833 completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d1149f6f6c81908ea2fce6f29ccb64 completed April 4, 2026, 1:39 p.m.
NED2 Entity disambiguation (via description) batch_69d115168d748190909687d39fb79e24 completed April 4, 2026, 1:41 p.m.
Created at: March 30, 2026, 7:49 p.m.