Triple

T19170893
Position Surface form Disambiguated ID Type / Status
Subject Hishammuddin Hussein E469315 entity
Predicate ethnicGroup P194 FINISHED
Object Malay 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: Malay | Statement: [Hishammuddin Hussein, ethnicGroup, Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malay
Context triple: [Hishammuddin Hussein, ethnicGroup, Malay]
  • A. Malay chosen
    Malay refers to an Austronesian ethnic group native to the Malay Peninsula and parts of Southeast Asia, sharing a common language, culture, and Islamic heritage.
  • B. Malay
    Malay is an Austronesian language widely spoken in Southeast Asia and serves as a national or official language in several countries, including Malaysia, Indonesia (as Indonesian), Brunei, and Singapore.
  • C. Malay
    Malay is an American record producer and songwriter best known for his work with artists like Frank Ocean, John Legend, and Zayn.
  • D. MALAYSIAN
    MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
  • E. Pahang Malay
    Pahang Malay is a regional variety of the Malay language spoken primarily in the Malaysian state of Pahang, characterized by its distinct phonology and vocabulary within the Malay dialect continuum.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f163c5888190b4880471d17b4f51 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.