Triple
T7724209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma Long |
E175088
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ma Long |
E175088
|
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: Ma Long | Statement: [Ma Long, name, Ma Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ma Long Context triple: [Ma Long, name, Ma Long]
-
A.
Ma Long
chosen
Ma Long is a Chinese table tennis player widely regarded as one of the greatest in the sport’s history, with multiple Olympic and World Championship titles.
-
B.
Chen Long
Chen Long is a Chinese badminton player renowned for winning multiple world titles and an Olympic gold medal in men's singles.
-
C.
Wu Lei
Wu Lei is a prominent Chinese actor and former child star known for his roles in popular television dramas and films.
-
D.
Zhang Xiyuan
Zhang Xiyuan was the first wife of Chinese leader Deng Xiaoping, with whom he was briefly married in the early 1920s before her early death.
-
E.
Wu Yibing
Wu Yibing is a Chinese professional tennis player known for breaking national records on the ATP Tour and achieving historic milestones for Chinese men’s tennis.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7031279708190a3a5fb64f9206974 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b51faa348190b4fa0b5a307c83db |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:05 p.m.