Triple

T13085408
Position Surface form Disambiguated ID Type / Status
Subject Ella Rumpf E310317 entity
Predicate notableWork P4 FINISHED
Object Raw E564859 NE FINISHED

How this triple was built (2 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: [Ella Rumpf, notableWork, Raw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raw
Context triple: [Ella Rumpf, 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 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. Rough
    "Rough" is a subsequent musical release following "Acid Queen," likely representing the next phase in the artist's discography.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:02 p.m.