Triple

T3519650
Position Surface form Disambiguated ID Type / Status
Subject Henry Golding E74388 entity
Predicate ethnicGroup P194 FINISHED
Object Iban E132870 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: Iban | Statement: [Henry Golding, ethnicGroup, Iban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iban
Context triple: [Henry Golding, ethnicGroup, Iban]
  • A. Iban people chosen
    The Iban people are an indigenous Dayak ethnic group of Borneo known for their longhouse communities, rich oral traditions, and history of seafaring and warrior culture.
  • B. Ifo
    Ifo is a town in Ogun State, southwestern Nigeria, known as a historically significant Awori settlement and an important local commercial center.
  • C. Bangka
    Bangka is a large Indonesian island off the east coast of Sumatra, known for its tin mining and beautiful beaches.
  • D. Iban language
    The Iban language is an Austronesian language spoken primarily by the Iban people of Borneo, especially in Sarawak, Malaysia, and parts of Kalimantan, Indonesia.
  • E. Sijistan
    Sijistan (also known as Sistan) is a historical region in eastern Iran and southwestern Afghanistan that was an important center of early Islamic scholarship and culture.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4af70c8190a7471f28e1efd7fd completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e848d1c8190b100cb2e1218afbb completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.