Triple

T20168696
Position Surface form Disambiguated ID Type / Status
Subject Crazy Horse E491895 entity
Predicate notableWork P4 FINISHED
Object Zuma 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: Zuma | Statement: [Crazy Horse, notableWork, Zuma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuma
Context triple: [Crazy Horse, notableWork, Zuma]
  • A. Zuma chosen
    Zuma is a 1975 rock album by Canadian singer-songwriter Neil Young, known for its blend of electric guitar-driven tracks and reflective acoustic songs created with his band Crazy Horse.
  • B. Zuma
    Zuma is a playful chocolate Labrador pup from PAW Patrol who serves as the team's water rescue and aquatic expert.
  • C. Zuma
    Zuma is an archaeological site in Sudan’s Napatan region, notable for its ancient Nubian burial mounds and inclusion in the UNESCO-listed Gebel Barkal cultural landscape.
  • D. Zuma
    Zuma is a South African surname most prominently associated with Jacob Zuma, the former President of South Africa.
  • E. Chaka
    "Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66846f4ec81908b0dc6a6e0ec27dd completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.