Triple

T13600877
Position Surface form Disambiguated ID Type / Status
Subject Arular E324936 entity
Predicate hasPart P35 FINISHED
Object Bingo E802876 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: Bingo | Statement: [Arular, hasPart, Bingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bingo
Context triple: [Arular, hasPart, Bingo]
  • A. Bingo chosen
    Bingo is a stage play by British dramatist Edward Bond that portrays William Shakespeare in his final years, exploring themes of guilt, capitalism, and social responsibility.
  • B. The Bingo Palace
    The Bingo Palace is a novel by Louise Erdrich that continues her interconnected stories about a North Dakota Ojibwe community, exploring themes of identity, family, and cultural survival.
  • C. Let Them Eat Bingo
    Let Them Eat Bingo is the 1990 debut album by British electronic music group Beats International, blending dance, dub, hip hop, and pop influences.
  • D. Muckleshoot Bingo
    Muckleshoot Bingo is a large tribal gaming facility in Washington State known for offering extensive bingo games and related entertainment operated by the Muckleshoot Indian Tribe.
  • E. Brisco
    Brisco is an American rapper known for his collaborations with prominent hip-hop artists and appearances on DJ Khaled’s We the Best projects.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcc1ed88190bbf6c83001703b84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.