Triple

T13932156
Position Surface form Disambiguated ID Type / Status
Subject 6 Feet Deep E335018 entity
Predicate hasPart P35 FINISHED
Object Six Feet Deep (song)
"Six Feet Deep" is a hip-hop song by the Geto Boys, known for its dark, introspective lyrics and exploration of death and existential themes.
 E1069235 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: Six Feet Deep (song) | Statement: [6 Feet Deep, hasPart, Six Feet Deep (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Six Feet Deep (song)
Context triple: [6 Feet Deep, hasPart, Six Feet Deep (song)]
  • A. 6 Feet Deep
    6 Feet Deep is a pioneering mid-1990s horrorcore hip-hop album by the group Gravediggaz, known for its dark humor, macabre themes, and influential production.
  • B. Dig Deep
    "Dig Deep" is a song included on the album "Bombshell."
  • C. In Too Deep
    In Too Deep is a 1999 crime thriller film about an undercover cop infiltrating a powerful drug syndicate, in which Michael Beach plays a supporting role.
  • D. Something Deep Inside
    "Something Deep Inside" is a pop single by English singer Billie Piper, released in 2000 as part of her second studio album "Walk of Life."
  • E. Waist Deep
    Waist Deep is a 2006 action-crime drama film about an ex-convict’s desperate attempt to rescue his kidnapped son amid gang violence in Los Angeles.
  • 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: Six Feet Deep (song)
Triple: [6 Feet Deep, hasPart, Six Feet Deep (song)]
Generated description
"Six Feet Deep" is a hip-hop song by the Geto Boys, known for its dark, introspective lyrics and exploration of death and existential themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Six Feet Deep (song)
Target entity description: "Six Feet Deep" is a hip-hop song by the Geto Boys, known for its dark, introspective lyrics and exploration of death and existential themes.
  • A. 6 Feet Deep
    6 Feet Deep is a pioneering mid-1990s horrorcore hip-hop album by the group Gravediggaz, known for its dark humor, macabre themes, and influential production.
  • B. Dig Deep
    "Dig Deep" is a song included on the album "Bombshell."
  • C. In Too Deep
    In Too Deep is a 1999 crime thriller film about an undercover cop infiltrating a powerful drug syndicate, in which Michael Beach plays a supporting role.
  • D. Something Deep Inside
    "Something Deep Inside" is a pop single by English singer Billie Piper, released in 2000 as part of her second studio album "Walk of Life."
  • E. Waist Deep
    Waist Deep is a 2006 action-crime drama film about an ex-convict’s desperate attempt to rescue his kidnapped son amid gang violence in Los Angeles.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf13b2881908a48058a719d3745 completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8452648190b7392d75eb1ca874 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f7cf37cd7c81908f4da2495403bc6c completed May 3, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f7cfee80a881909de648b20043bf6d completed May 3, 2026, 10:45 p.m.
Created at: April 9, 2026, 10:16 p.m.