Triple
T17036746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Angrok |
E413339
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Mahisa Wonga Teleng
Mahisa Wonga Teleng is a figure from Javanese historical legend, known primarily as the son of Ken Angrok, the founder of the Singhasari kingdom.
|
E1245978
|
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: Mahisa Wonga Teleng | Statement: [Ken Angrok, child, Mahisa Wonga Teleng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahisa Wonga Teleng Context triple: [Ken Angrok, child, Mahisa Wonga Teleng]
-
A.
Walisongo
Walisongo is the collective name for the nine revered Islamic saints credited with spreading Islam across Java in Indonesia during the 15th and 16th centuries.
-
B.
Manggalili
Manggalili is a Yolŋu Aboriginal Australian language associated with the Manggalili clan of northeast Arnhem Land in the Northern Territory.
-
C.
Wapengo
Wapengo is a small coastal locality in New South Wales, Australia, known for its proximity to Wapengo Lake and its oyster farming industry.
-
D.
Mangseng
Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
-
E.
Wun Wun
Wun Wun is a giant allied with Jon Snow in Game of Thrones, known for his immense strength and pivotal role in key battles.
- 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: Mahisa Wonga Teleng Triple: [Ken Angrok, child, Mahisa Wonga Teleng]
Generated description
Mahisa Wonga Teleng is a figure from Javanese historical legend, known primarily as the son of Ken Angrok, the founder of the Singhasari kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mahisa Wonga Teleng Target entity description: Mahisa Wonga Teleng is a figure from Javanese historical legend, known primarily as the son of Ken Angrok, the founder of the Singhasari kingdom.
-
A.
Walisongo
Walisongo is the collective name for the nine revered Islamic saints credited with spreading Islam across Java in Indonesia during the 15th and 16th centuries.
-
B.
Manggalili
Manggalili is a Yolŋu Aboriginal Australian language associated with the Manggalili clan of northeast Arnhem Land in the Northern Territory.
-
C.
Wapengo
Wapengo is a small coastal locality in New South Wales, Australia, known for its proximity to Wapengo Lake and its oyster farming industry.
-
D.
Mangseng
Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
-
E.
Wun Wun
Wun Wun is a giant allied with Jon Snow in Game of Thrones, known for his immense strength and pivotal role in key battles.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c2203f0819091a5b4aa7c339585 |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011cc70cb08190b53b6a7402139f93 |
completed | May 11, 2026, 12:03 a.m. |
Created at: April 10, 2026, 5:33 a.m.