Triple

T22822367
Position Surface form Disambiguated ID Type / Status
Subject United Abominations E565262 entity
Predicate hasPart P35 FINISHED
Object Play for Blood
"Play for Blood" is a song by the American thrash metal band Megadeth from their album "United Abominations."
 E1557419 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: Play for Blood | Statement: [United Abominations, hasPart, Play for Blood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Play for Blood
Context triple: [United Abominations, hasPart, Play for Blood]
  • A. Pay in Blood
    "Pay in Blood" is a dark, hard-edged song by Bob Dylan from his 2012 album *Tempest*, noted for its violent biblical imagery and bitter, vengeful tone.
  • B. Blood to Bleed
    "Blood to Bleed" is a song by the American punk rock band Rise Against from their album *Siren Song of the Counter Culture*.
  • C. Spill the Blood
    "Spill the Blood" is a dark, atmospheric thrash metal song by Slayer, featured as the closing track on their 1988 album *South of Heaven*.
  • D. Out for Blood
    Out for Blood is a song by Canadian rock band Sum 41, known for its aggressive punk-influenced sound and themes of anger and rebellion.
  • E. Back to Blood
    Back to Blood is a 2012 novel by Tom Wolfe that satirically explores race, class, and immigrant life in contemporary Miami.
  • 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: Play for Blood
Triple: [United Abominations, hasPart, Play for Blood]
Generated description
"Play for Blood" is a song by the American thrash metal band Megadeth from their album "United Abominations."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Play for Blood
Target entity description: "Play for Blood" is a song by the American thrash metal band Megadeth from their album "United Abominations."
  • A. Pay in Blood
    "Pay in Blood" is a dark, hard-edged song by Bob Dylan from his 2012 album *Tempest*, noted for its violent biblical imagery and bitter, vengeful tone.
  • B. Blood to Bleed
    "Blood to Bleed" is a song by the American punk rock band Rise Against from their album *Siren Song of the Counter Culture*.
  • C. Spill the Blood
    "Spill the Blood" is a dark, atmospheric thrash metal song by Slayer, featured as the closing track on their 1988 album *South of Heaven*.
  • D. Out for Blood
    Out for Blood is a song by Canadian rock band Sum 41, known for its aggressive punk-influenced sound and themes of anger and rebellion.
  • E. Back to Blood
    Back to Blood is a 2012 novel by Tom Wolfe that satirically explores race, class, and immigrant life in contemporary Miami.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd11b048190869c0c8a0e3095d7 completed April 29, 2026, 3:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7a851b08190a36972fca837d1ef completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8666f608190b512aa4c8442f6c1 completed May 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0baa4decf881909774facad2cae93d completed May 19, 2026, 12:09 a.m.
Created at: April 17, 2026, 3:33 p.m.