Triple
T19414857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Fernandes |
E485685
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
Tune Air Sdn Bhd
Tune Air Sdn Bhd is a Malaysian investment vehicle best known for acquiring and transforming the low-cost airline AirAsia under Tony Fernandes’s leadership.
|
E1374883
|
NE FINISHED |
How this triple was built (4 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: Tune Air Sdn Bhd | Statement: [Tony Fernandes, founded, Tune Air Sdn Bhd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tune Air Sdn Bhd Context triple: [Tony Fernandes, founded, Tune Air Sdn Bhd]
-
A.
TUNAIR
TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
-
B.
Tanz Industries
Tanz Industries is a powerful, high-tech aerospace and defense company in the TV series "Salvation," founded and led by billionaire scientist Darius Tanz.
-
C.
T-Com
T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
-
D.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
E.
Touch 'n Go
Touch 'n Go is a Malaysian contactless smart card payment system widely used for public transportation fares, tolls, and various retail transactions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tune Air Sdn Bhd Triple: [Tony Fernandes, founded, Tune Air Sdn Bhd]
Generated description
Tune Air Sdn Bhd is a Malaysian investment vehicle best known for acquiring and transforming the low-cost airline AirAsia under Tony Fernandes’s leadership.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tune Air Sdn Bhd Target entity description: Tune Air Sdn Bhd is a Malaysian investment vehicle best known for acquiring and transforming the low-cost airline AirAsia under Tony Fernandes’s leadership.
-
A.
TUNAIR
TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
-
B.
Tanz Industries
Tanz Industries is a powerful, high-tech aerospace and defense company in the TV series "Salvation," founded and led by billionaire scientist Darius Tanz.
-
C.
T-Com
T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
-
D.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
E.
Touch 'n Go
Touch 'n Go is a Malaysian contactless smart card payment system widely used for public transportation fares, tolls, and various retail transactions.
- F. None of above. chosen
Provenance (5 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af90758819088999d98d270011a |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733cbd51c819091d81588491924a1 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0735004ef4819083d92bd915bbef77 |
completed | May 15, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07357ba4848190bf4be4a02242d5b0 |
completed | May 15, 2026, 3:02 p.m. |
Created at: April 10, 2026, 1:37 p.m.