Triple
T10795819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Dongsheng |
E254702
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | TCL Corporation |
E58092
|
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: TCL Corporation | Statement: [Li Dongsheng, employer, TCL Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TCL Corporation Context triple: [Li Dongsheng, employer, TCL Corporation]
-
A.
TCL Corporation
chosen
TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
-
B.
TCL
TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
-
C.
Midea Group
Midea Group is a major Chinese multinational home appliance and robotics manufacturer known for its extensive range of consumer electronics and industrial automation products.
-
D.
Huawei
Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
-
E.
Unicom Corporation
Unicom Corporation was a major U.S. electric utility holding company based in Illinois that later became part of Exelon through a merger.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5654e2c48190a8f078b8164707e2 |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:17 p.m.