Triple

T13185672
Position Surface form Disambiguated ID Type / Status
Subject Michael Caine E313841 entity
Predicate notableWork P4 FINISHED
Object Zulu E246730 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: Zulu | Statement: [Michael Caine, notableWork, Zulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zulu
Context triple: [Michael Caine, notableWork, Zulu]
  • A. Zulu
    Zulu is a Bantu language of the Nguni group spoken primarily in South Africa and widely influential in the country’s culture and other local languages.
  • B. Zulu chosen
    Zulu is a 1964 British war film depicting the Battle of Rorke's Drift during the Anglo-Zulu War, noted for being one of Michael Caine's early breakthrough roles.
  • C. Zulu
    The Zulu are a major Southern African ethnic group primarily found in South Africa, known for their rich cultural traditions, historical Zulu Kingdom, and use of the Zulu language.
  • D. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • E. Xhosa
    Xhosa is a Bantu language of South Africa, known for its distinctive click consonants and as one of the country’s major official languages.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f7a304819081c4f51631948cbd completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:15 p.m.