Triple

T7651748
Position Surface form Disambiguated ID Type / Status
Subject Bo Ralph E173269 entity
Predicate name P16 FINISHED
Object Bo Ralph E173269 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: Bo Ralph | Statement: [Bo Ralph, name, Bo Ralph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo Ralph
Context triple: [Bo Ralph, name, Bo Ralph]
  • A. Bo Ralph chosen
    Bo Ralph is a Swedish linguist and professor known for his work in Scandinavian languages and his membership in the Swedish Academy.
  • B. Ralph Carter
    Ralph Carter is an American actor and singer best known for playing Michael Evans, the youngest son, on the 1970s sitcom "Good Times."
  • C. Ralph Malph
    Ralph Malph is a wisecracking, redheaded teenager known for his corny jokes and nervous humor on the classic TV sitcom "Happy Days."
  • D. Ralph Burns
    Ralph Burns was an American jazz pianist, composer, and arranger renowned for his influential big band work and acclaimed film scores.
  • E. Ralph Rolle
    Ralph Rolle is an American drummer and session musician best known for his work with bands like Chic and the Tom Tom Club, as well as for his extensive live and studio performances.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701770ac881909452348c9547ab47 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aeb66c081909f3a3d6385637c25 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:58 p.m.