Triple

T22164953
Position Surface form Disambiguated ID Type / Status
Subject Vol. 4 E547766 entity
Predicate hasPart P35 FINISHED
Object Snowblind
"Snowblind" is a heavy, riff-driven song by Black Sabbath, widely recognized as one of the standout tracks from their influential early-1970s era.
 E1523616 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: Snowblind | Statement: [Vol. 4, hasPart, Snowblind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snowblind
Context triple: [Vol. 4, hasPart, Snowblind]
  • A. Snowblind
    "Snowblind" is a song featured on Robbie Williams' album "Swings Both Ways," showcasing his swing-influenced pop style.
  • B. Sandblind
    Sandblind is a novel by British author Julian Rathbone, known for its blend of political intrigue and literary thriller elements.
  • C. Whiteout
    Whiteout is a 2009 crime thriller film set in Antarctica, based on the graphic novel of the same name, in which Gabriel Macht co-stars alongside Kate Beckinsale.
  • D. The Sunblind
    "The Sunblind" is a Cubist painting by Spanish artist Juan Gris, exemplifying his distinctive use of geometric forms and luminous color.
  • E. Sunfall
    Sunfall is a science-based dystopian thriller novel by physicist and author Jim Al-Khalili that explores the catastrophic consequences of a collapsing Earth magnetic field.
  • 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: Snowblind
Triple: [Vol. 4, hasPart, Snowblind]
Generated description
"Snowblind" is a heavy, riff-driven song by Black Sabbath, widely recognized as one of the standout tracks from their influential early-1970s era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snowblind
Target entity description: "Snowblind" is a heavy, riff-driven song by Black Sabbath, widely recognized as one of the standout tracks from their influential early-1970s era.
  • A. Snowblind
    "Snowblind" is a song featured on Robbie Williams' album "Swings Both Ways," showcasing his swing-influenced pop style.
  • B. Sandblind
    Sandblind is a novel by British author Julian Rathbone, known for its blend of political intrigue and literary thriller elements.
  • C. Whiteout
    Whiteout is a 2009 crime thriller film set in Antarctica, based on the graphic novel of the same name, in which Gabriel Macht co-stars alongside Kate Beckinsale.
  • D. The Sunblind
    "The Sunblind" is a Cubist painting by Spanish artist Juan Gris, exemplifying his distinctive use of geometric forms and luminous color.
  • E. Sunfall
    Sunfall is a science-based dystopian thriller novel by physicist and author Jim Al-Khalili that explores the catastrophic consequences of a collapsing Earth magnetic field.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a309d8081908f4540fe2da63010 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ebeab0081908baf171fd1e7b241 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0aa2c897f481908f379e8b956b6cfc completed May 18, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa3313bb88190b1223ee5268bc859 completed May 18, 2026, 5:27 a.m.
Created at: April 16, 2026, 8:34 p.m.