Triple

T6031012
Position Surface form Disambiguated ID Type / Status
Subject Ralph 124C 41+ E134301 entity
Predicate protagonist P268 FINISHED
Object Ralph 124C 41 E134301 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: Ralph 124C 41 | Statement: [Ralph 124C 41+, protagonist, Ralph 124C 41]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph 124C 41
Context triple: [Ralph 124C 41+, protagonist, Ralph 124C 41]
  • A. Ralph 124C 41+ chosen
    Ralph 124C 41+ is a pioneering early science fiction novel by Hugo Gernsback that famously envisioned numerous future technologies and helped shape the genre’s development.
  • B. The Ralph
    The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
  • C. Dyna
    Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
  • D. TR-42
    TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
  • E. The Rambler
    The Rambler is Samuel Johnson’s influential 18th-century periodical of moral and philosophical essays that helped establish his reputation as a leading English man of letters.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056af89e881909652957f94317684 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11381aa0c81909487a5eb510c9b41 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.