Triple
T6212479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Long |
E138902
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | He Long |
E138902
|
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: He Long | Statement: [He Long, name, He Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Long Context triple: [He Long, name, He Long]
-
A.
He Long
chosen
He Long was a prominent Chinese Communist military leader and marshal who played a key role in early revolutionary campaigns and later in the People’s Liberation Army.
-
B.
Lin Gie-Ming
Lin Gie-Ming is the father of former NBA point guard Jeremy Lin, known for his Taiwanese heritage and influence on Jeremy’s upbringing and education.
-
C.
Wu Jingyu
Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
-
D.
Zhang Fakui
Zhang Fakui was a prominent Nationalist Chinese general who played key roles in major early battles of the Second Sino-Japanese War.
-
E.
Li Chung-chang
Li Chung-chang, better known as Li Hongzhang, was a prominent late Qing dynasty Chinese statesman, diplomat, and military leader who played a key role in modernization and foreign affairs.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0628c52ec8190b9c62c7fdc0aa83b |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603e5b3d48190b156be02008a8c12 |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:21 p.m.