Triple
T22689433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Ming |
E561009
|
entity |
| Predicate | hasWorkTitle |
P3254
|
FINISHED |
| Object | Li Ming |
—
|
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: Li Ming | Statement: [Li Ming, hasWorkTitle, Li Ming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Ming Context triple: [Li Ming, hasWorkTitle, Li Ming]
-
A.
Li Ming
chosen
Li Ming is a chapter of the classical Daoist text Liezi, traditionally attributed to the philosopher Lie Yukou.
-
B.
Zhang Ming
Zhang Ming is a Chinese diplomat who serves as Secretary-General of the Shanghai Cooperation Organisation, overseeing coordination and cooperation among its member states.
-
C.
Li Xiao
Li Xiao is a Chinese writer best known as the author of the source material that inspired the film "Shanghai Triad."
-
D.
Li Wen
Li Wen, better known by his temple name Emperor Yizong of Tang, was a 9th-century emperor of the Tang dynasty in China.
-
E.
Li Xin
Li Xin was a prominent Qin general during the Warring States period who led major campaigns that contributed to the unification of China under the Qin 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789931148190925ce9038c16413b |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.