Triple
T4737716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussein Onn |
E105164
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object |
Tun
Tun is the highest federal title of honor in Malaysia, bestowed by the Yang di-Pertuan Agong for extraordinary service to the nation.
|
E465556
|
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: Tun | Statement: [Hussein Onn, honorificTitle, Tun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tun Context triple: [Hussein Onn, honorificTitle, Tun]
-
A.
Tissi
Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
-
B.
Tarmuwa
Tarmuwa is a local government area in northeastern Nigeria known for its predominantly rural communities within Yobe State.
-
C.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
-
D.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
E.
Tislit
Tislit is a small village in the Jbel Sirwa region of Morocco, known for its traditional Berber culture and mountainous surroundings.
- 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: Tun Triple: [Hussein Onn, honorificTitle, Tun]
Generated description
Tun is the highest federal title of honor in Malaysia, bestowed by the Yang di-Pertuan Agong for extraordinary service to the nation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tun Target entity description: Tun is the highest federal title of honor in Malaysia, bestowed by the Yang di-Pertuan Agong for extraordinary service to the nation.
-
A.
Tissi
Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
-
B.
Tarmuwa
Tarmuwa is a local government area in northeastern Nigeria known for its predominantly rural communities within Yobe State.
-
C.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
-
D.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
E.
Tislit
Tislit is a small village in the Jbel Sirwa region of Morocco, known for its traditional Berber culture and mountainous surroundings.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64844b7081909c9d36e4b461379e |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10b8e7ec81908cc1ec9b94a6bee4 |
completed | March 21, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69be1a2de8e08190b26f206434eb9502 |
completed | March 21, 2026, 4:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be1a94d8b8819092f7a273cc19ebe9 |
completed | March 21, 2026, 4:12 a.m. |
Created at: March 20, 2026, 1:19 p.m.