Triple

T21890988
Position Surface form Disambiguated ID Type / Status
Subject Jin Yunpeng E540544 entity
Predicate familyName P18 FINISHED
Object Jin 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: Jin | Statement: [Jin Yunpeng, familyName, Jin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jin
Context triple: [Jin Yunpeng, familyName, Jin]
  • A. Jin chosen
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • B. Jin
    Jin is the standard abbreviation used to refer to Shanxi Province in China.
  • C. Jin
    Jin is a common Korean given name used for people of any gender, often meaning "truth," "treasure," or "precious" depending on the hanja used.
  • D. Jin
    Jin is a central character in the animated film "Abominable," accompanying a young girl and a yeti on an adventurous journey from Shanghai to the Himalayas.
  • E. Jin
    Jin was a powerful Jurchen-ruled dynasty that controlled northern China in the 12th and 13th centuries before falling to the Mongol Empire.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc2124c8190a79cf115a1d30283 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.