Triple

T5692903
Position Surface form Disambiguated ID Type / Status
Subject MRC E125467 entity
Predicate notableWork P4 FINISHED
Object The Blackening
The Blackening is a 2022 horror-comedy film that satirizes slasher-movie tropes through a predominantly Black ensemble cast and sharp social commentary.
 E540770 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: The Blackening | Statement: [MRC, notableWork, The Blackening]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Blackening
Context triple: [MRC, notableWork, The Blackening]
  • A. Bigger & Blacker
    Bigger & Blacker is a 1999 stand-up comedy special and album by Chris Rock known for its sharp social commentary and provocative humor.
  • B. Blackness
    Blackness is a small coastal village in West Lothian, Scotland, situated on the south shore of the Firth of Forth.
  • C. Man in Black
    "Man in Black" is a signature song by Johnny Cash that articulates his solidarity with the poor and oppressed and explains his trademark dark clothing.
  • D. Man in Black
    The Man in Black is a mysterious, morally ambiguous figure in the Westworld universe, known for his ruthless pursuit of the park’s deepest secrets and hidden narrative.
  • E. Blacker
    Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
  • 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: The Blackening
Triple: [MRC, notableWork, The Blackening]
Generated description
The Blackening is a 2022 horror-comedy film that satirizes slasher-movie tropes through a predominantly Black ensemble cast and sharp social commentary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Blackening
Target entity description: The Blackening is a 2022 horror-comedy film that satirizes slasher-movie tropes through a predominantly Black ensemble cast and sharp social commentary.
  • A. Bigger & Blacker
    Bigger & Blacker is a 1999 stand-up comedy special and album by Chris Rock known for its sharp social commentary and provocative humor.
  • B. Blackness
    Blackness is a small coastal village in West Lothian, Scotland, situated on the south shore of the Firth of Forth.
  • C. Man in Black
    "Man in Black" is a signature song by Johnny Cash that articulates his solidarity with the poor and oppressed and explains his trademark dark clothing.
  • D. Man in Black
    The Man in Black is a mysterious, morally ambiguous figure in the Westworld universe, known for his ruthless pursuit of the park’s deepest secrets and hidden narrative.
  • E. Blacker
    Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05bb6a334819094cff84f16f5285c completed March 22, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69c05c7a03948190b38e2dfcb04fd93e completed March 22, 2026, 9:17 p.m.
Created at: March 22, 2026, 3:44 p.m.