Triple
T3917687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Na |
E88883
|
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.
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.
-
D.
Ana Ivanovic
Ana Ivanovic is a retired Serbian professional tennis player and former world No. 1 who won the 2008 French Open singles title.
-
E.
Serena Williams
Serena Williams is an American tennis legend widely regarded as one of the greatest athletes of all time, known for her record-breaking Grand Slam titles and transformative impact on the sport.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed5797508190adaddb84575d9bb3 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52864e0488190ab348a52cb9168b9 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:22 p.m.