Triple
T7346429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MyTeksi |
E169391
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Tan Hooi Ling |
E169390
|
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: Tan Hooi Ling | Statement: [MyTeksi, coFounder, Tan Hooi Ling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tan Hooi Ling Context triple: [MyTeksi, coFounder, Tan Hooi Ling]
-
A.
Tan Hooi Ling
chosen
Tan Hooi Ling is a Malaysian entrepreneur best known as the co-founder of Grab, Southeast Asia’s leading super-app for ride-hailing, deliveries, and digital financial services.
-
B.
Tan Kim Her
Tan Kim Her is a former Malaysian badminton doubles specialist who later became a prominent international doubles coach.
-
C.
Ong Boon Hua
Ong Boon Hua, better known as Chin Peng, was the longtime leader of the Malayan Communist Party and a key figure in the Malayan Emergency against British colonial rule.
-
D.
Htee Khee
Htee Khee is a border town in Myanmar that serves as a key crossing and trade gateway with neighboring Thailand.
-
E.
Mei Lin
Mei Lin is a sharp, ambitious Chinese-American medical student and love interest of Joel Maisel in the television series "The Marvelous Mrs. Maisel."
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f0329c8190a0182e3bf62604e5 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b24194819096b796de15d66ed2 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:05 p.m.