Triple

T20995489
Position Surface form Disambiguated ID Type / Status
Subject Donald Woods E517136 entity
Predicate notableWork P4 FINISHED
Object Biko 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: Biko | Statement: [Donald Woods, notableWork, Biko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biko
Context triple: [Donald Woods, notableWork, Biko]
  • A. Biko chosen
    "Biko" is a politically charged protest song by Peter Gabriel that commemorates South African anti-apartheid activist Steve Biko and helped raise global awareness of apartheid.
  • B. Quiapo
    Quiapo is a historic and densely populated district in Manila, Philippines, known for its bustling markets, the Quiapo Church, and its role as a major commercial and transport hub.
  • C. Bato
    Bato is a coastal municipality on the island province of Catanduanes in the Bicol Region of the Philippines, known for its rural landscapes and proximity to the Pacific Ocean.
  • D. Bato
    Bato is a coastal municipality in the province of Leyte in the Philippines known for its port and role as a local transport hub.
  • E. Jerico
    Jerico is a French film production company known for backing popular French-language movies such as "La Famille Bélier."
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1fd5d48190a56981cee95ebd69 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.