Triple

T12642557
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Castellanos E301933 entity
Predicate enemy P4567 FINISHED
Object Ruvik E266344 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: Ruvik | Statement: [Sebastian Castellanos, enemy, Ruvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruvik
Context triple: [Sebastian Castellanos, enemy, Ruvik]
  • A. Ruvik chosen
    Ruvik is the primary antagonist of The Evil Within survival horror series, known as a brilliant but deranged scientist whose traumatic past and experiments with the STEM system drive much of the games’ psychological terror.
  • B. Tamir
    Tamir is a fictional character from the satirical comedy film "The Dictator," which stars Sacha Baron Cohen as a despotic North African leader.
  • C. Rav
    Rav was a leading early Babylonian amora and foundational Talmudic sage who co-established the great academy at Sura and helped shape rabbinic Judaism in the Amoraic period.
  • D. Gideon Raff
    Gideon Raff is an Israeli film and television director, screenwriter, and producer best known for creating the series "Prisoners of War," which inspired the American show "Homeland."
  • E. Avi Nash
    Avi Nash is an American actor known for his roles in television series such as "The Walking Dead" and the sci-fi drama "Silo."
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614ae6ac8190b42acbf2b0331fda completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687770388190b4777885dae8a38f completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.