Triple

T21150540
Position Surface form Disambiguated ID Type / Status
Subject Xiong Xiling E521174 entity
Predicate familyName P18 FINISHED
Object Xiong 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: Xiong | Statement: [Xiong Xiling, familyName, Xiong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiong
Context triple: [Xiong Xiling, familyName, Xiong]
  • A. Xiong chosen
    Xiong is a Chinese surname historically associated with the Xiong clan, a prominent lineage in ancient China.
  • B. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • C. Qo Xiong
    Qo Xiong is a variety of the Miao (Hmong-Mien) language family spoken by Miao communities in parts of China.
  • D. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • E. Xianheng
    Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.