Triple

T16471956
Position Surface form Disambiguated ID Type / Status
Subject Li Na E400083 entity
Predicate name P16 FINISHED
Object Li Na E88883 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: Li Na | Statement: [Li Na, name, Li Na]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Li Na
Context triple: [Li Na, name, Li Na]
  • A. Li Na chosen
    Li Na is the daughter of Mao Zedong and Jiang Qing, known primarily for her connection to China’s former top leadership during the Mao era.
  • B. Peng Shuai
    Peng Shuai is a Chinese professional tennis player known for her success in doubles, including reaching world No. 1 and winning multiple Grand Slam titles.
  • C. Yang Yuting
    Yang Yuting was a prominent Chinese warlord-era general associated with the Fengtian clique in northeastern China during the early 20th century.
  • D. Venus Williams
    Venus Williams is an American professional tennis player renowned for her powerful game, multiple Grand Slam titles, and pioneering impact on equal prize money and representation in women’s tennis.
  • E. Ana Ivanovic
    Ana Ivanovic is a retired Serbian professional tennis player and former world No. 1 who won the 2008 French Open singles title.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd19df881909e4562a5e8473338 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679ecf4c819096e7f698b81fe25a completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:11 a.m.