Triple

T19245503
Position Surface form Disambiguated ID Type / Status
Subject Bummi E481239 entity
Predicate hasName P744 FINISHED
Object Bummi NE NERFINISHED

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: Bummi | Statement: [Bummi, hasName, Bummi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bummi
Context triple: [Bummi, hasName, Bummi]
  • A. Bummi chosen
    Bummi is a fictional female character who serves as the central protagonist in her story.
  • B. Bum
    Bum is the nickname of Bum Phillips, the colorful and beloved former NFL head coach best known for leading the Houston Oilers in the 1970s.
  • C. Bümpliz
    Bümpliz is a district of the Swiss city of Bern, known as a largely residential area with local industry and transport facilities.
  • D. Bamus
    Bamus is a stratovolcano located on the island of New Britain in Papua New Guinea, near the more prominent Ulawun volcano.
  • E. Bumba
    Bumba is a Romanian professional footballer known for playing as an attacking midfielder and winger for various clubs in Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2c34e88190a338e5a7ba906425 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.