Triple

T11292557
Position Surface form Disambiguated ID Type / Status
Subject Julie Chu E267363 entity
Predicate familyName P18 FINISHED
Object Chu E502951 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: Chu | Statement: [Julie Chu, familyName, Chu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chu
Context triple: [Julie Chu, familyName, Chu]
  • A. Chu
    Chu is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • B. Chu chosen
    Chu is a Chinese surname borne by numerous notable individuals across politics, science, arts, and entertainment.
  • C. Chu
    Chu was a powerful ancient Chinese state during the Spring and Autumn and Warring States periods, known for its distinctive culture, military strength, and significant role in early Chinese history.
  • D. Chau
    Chau is a romanized surname and given name of Chinese and Vietnamese origin, commonly used as a variant spelling of Zhao and several other East Asian names.
  • E. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f4a57d6881909a1e65744111ad8b completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.