Triple

T22534935
Position Surface form Disambiguated ID Type / Status
Subject Fort Minor E557128 entity
Predicate hasSong P20452 FINISHED
Object Red to Black
"Red to Black" is a hip-hop/rock track by Fort Minor that blends narrative storytelling with emotional themes of loss and betrayal.
 E1542169 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: Red to Black | Statement: [Fort Minor, hasSong, Red to Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red to Black
Context triple: [Fort Minor, hasSong, Red to Black]
  • A. Red Black and Blue
    "Red Black and Blue" is a song by Marilyn Manson from his 2020 studio album *We Are Chaos*.
  • B. Black & Blue
    Black & Blue is a 2000 studio album by the American boy band Backstreet Boys, featuring pop and R&B-influenced tracks that followed their breakthrough success with Millennium.
  • C. Black & Blue
    "Black & Blue" is a song featured on the album "Ghost of a Dog" by the American alternative rock band Edie Brickell & New Bohemians.
  • D. Black and Blue
    "Black and Blue" is a jazz standard co-written by composer and pianist Harry Brooks that has become widely recognized and recorded in the American songbook.
  • E. Black and Blue
    "Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
  • 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: Red to Black
Triple: [Fort Minor, hasSong, Red to Black]
Generated description
"Red to Black" is a hip-hop/rock track by Fort Minor that blends narrative storytelling with emotional themes of loss and betrayal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Red to Black
Target entity description: "Red to Black" is a hip-hop/rock track by Fort Minor that blends narrative storytelling with emotional themes of loss and betrayal.
  • A. Red Black and Blue
    "Red Black and Blue" is a song by Marilyn Manson from his 2020 studio album *We Are Chaos*.
  • B. Black & Blue
    Black & Blue is a 2000 studio album by the American boy band Backstreet Boys, featuring pop and R&B-influenced tracks that followed their breakthrough success with Millennium.
  • C. Black & Blue
    "Black & Blue" is a song featured on the album "Ghost of a Dog" by the American alternative rock band Edie Brickell & New Bohemians.
  • D. Black and Blue
    "Black and Blue" is a jazz standard co-written by composer and pianist Harry Brooks that has become widely recognized and recorded in the American songbook.
  • E. Black and Blue
    "Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15edad0248190b990ddffbc786e05 completed April 29, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1de11c5c8190bf9ed4bb5ccfc988 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1f09934c81909c0d81a7838f5580 completed May 18, 2026, 2:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0b257ec8a481908bf6c6c0b722e702 completed May 18, 2026, 2:43 p.m.
Created at: April 16, 2026, 8:51 p.m.