Triple

T17498200
Position Surface form Disambiguated ID Type / Status
Subject Margaret Chung E426123 entity
Predicate familyName P18 FINISHED
Object Chung 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: Chung | Statement: [Margaret Chung, familyName, Chung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chung
Context triple: [Margaret Chung, familyName, Chung]
  • A. Chung chosen
    Chung is a common Korean and Chinese surname borne by many notable individuals across fields such as journalism, politics, and the arts.
  • B. Chon
    Chon is a former Navy SEAL and one of the two marijuana-growing protagonists in Oliver Stone’s crime thriller film "Savages."
  • C. Chong
    Chong is a Canadian-American comedian, actor, and musician best known as half of the stoner comedy duo Cheech & Chong.
  • D. Chong
    Chong is an indigenous ethnic group in Southeast Asia that speaks a Pearic language and is traditionally found in parts of Cambodia and Thailand.
  • E. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520f6790819092c36e0e4ecc4cd3 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.