Triple
T18599853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundaresh Menon |
E454589
|
entity |
| Predicate | appointedBy |
P257
|
FINISHED |
| Object | Tony Tan |
—
|
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: Tony Tan | Statement: [Sundaresh Menon, appointedBy, Tony Tan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Tan Context triple: [Sundaresh Menon, appointedBy, Tony Tan]
-
A.
Phil Tan
Phil Tan is a Grammy-winning mixing engineer renowned for his work on numerous chart-topping pop and R&B records.
-
B.
Peter Ong
Peter Ong is a prominent Singaporean civil servant and former Head of the Civil Service who has held several top government and corporate leadership roles.
-
C.
C. J. Tan
C. J. Tan is a computer scientist known for being part of the IBM team that developed the Deep Blue chess-playing supercomputer.
-
D.
Anthony Tan
Anthony Tan is a Malaysian entrepreneur best known as the co-founder and CEO of Grab, Southeast Asia’s leading super-app for ride-hailing, deliveries, and digital financial services.
-
E.
Tony Tan Keng Yam
chosen
Tony Tan Keng Yam is a Singaporean politician and former President of Singapore who previously served as Deputy Prime Minister and held several key ministerial portfolios.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5475018548190a2f497081af7ce55 |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:45 a.m.