Triple

T15956046
Position Surface form Disambiguated ID Type / Status
Subject Ruth McCabe E386936 entity
Predicate notableWork P4 FINISHED
Object Raw
Raw is a 2016 French-Belgian horror drama film about a vegetarian veterinary student who develops a disturbing taste for human flesh after a hazing ritual.
 E564859 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: Raw | Statement: [Ruth McCabe, notableWork, Raw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raw
Context triple: [Ruth McCabe, notableWork, Raw]
  • A. Raw
    Raw is a flagship weekly professional wrestling television program produced by WWE, featuring top-tier storylines and talent from one of the company’s primary brands.
  • B. Raw
    Raw is a 2016 French-Belgian horror drama film about a vegetarian veterinary student who develops a disturbing craving for human flesh after a hazing ritual.
  • C. RAW
    RAW is India's external intelligence agency responsible for foreign intelligence gathering, counter-terrorism, and strategic security operations.
  • D. Raw Uncut
    Raw Uncut is a music producer known for working with the hip-hop artist Exit 13.
  • E. R.A.W.
    R.A.W. is a studio album by West Coast rapper and producer Daz Dillinger, showcasing his signature G-funk-influenced gangsta rap style.
  • 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: Raw
Triple: [Ruth McCabe, notableWork, Raw]
Generated description
Raw is a 2016 French-Belgian horror drama film about a vegetarian veterinary student who develops a disturbing taste for human flesh after a hazing ritual.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raw
Target entity description: Raw is a 2016 French-Belgian horror drama film about a vegetarian veterinary student who develops a disturbing taste for human flesh after a hazing ritual.
  • A. Raw
    Raw is a flagship weekly professional wrestling television program produced by WWE, featuring top-tier storylines and talent from one of the company’s primary brands.
  • B. Raw chosen
    Raw is a 2016 French-Belgian horror drama film about a vegetarian veterinary student who develops a disturbing craving for human flesh after a hazing ritual.
  • C. RAW
    RAW is India's external intelligence agency responsible for foreign intelligence gathering, counter-terrorism, and strategic security operations.
  • D. Raw Uncut
    Raw Uncut is a music producer known for working with the hip-hop artist Exit 13.
  • E. R.A.W.
    R.A.W. is a studio album by West Coast rapper and producer Daz Dillinger, showcasing his signature G-funk-influenced gangsta rap style.
  • F. None of above.

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c1b49c819087e5a088d41963ec completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc4ba0a988190b1d93ce6479bac88 completed May 9, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5902904819097a2c5efbde55882 completed May 9, 2026, 11:38 p.m.
Created at: April 10, 2026, 4:53 a.m.