Triple

T9610565
Position Surface form Disambiguated ID Type / Status
Subject Jeong E232087 entity
Predicate romanizationVariant P5923 FINISHED
Object Chung E729486 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: Chung | Statement: [Jeong, romanizationVariant, Chung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chung
Context triple: [Jeong, romanizationVariant, 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. 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.
  • C. 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.
  • D. Chang
    Chang is a common Chinese surname shared by many individuals across the Chinese-speaking world.
  • E. Chang
    Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a85d4c881909ccab2e972d97e68 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179513f9081909bcd9a456c640ba3 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.