Triple
T34726838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Suro of Geumgwan Gaya |
E1001093
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
King Geodeung of Geumgwan Gaya
King Geodeung of Geumgwan Gaya was an early monarch of the Gaya confederacy on the Korean Peninsula, remembered for consolidating and developing the kingdom established by his predecessor.
|
E2109845
|
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: King Geodeung of Geumgwan Gaya | Statement: [King Suro of Geumgwan Gaya, successor, King Geodeung of Geumgwan Gaya]
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: King Geodeung of Geumgwan Gaya Triple: [King Suro of Geumgwan Gaya, successor, King Geodeung of Geumgwan Gaya]
Generated description
King Geodeung of Geumgwan Gaya was an early monarch of the Gaya confederacy on the Korean Peninsula, remembered for consolidating and developing the kingdom established by his predecessor.
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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f779a818b48190a67003c2ff4a2923 |
completed | May 3, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a375be9a154819086beb6770fa44ae5 |
completed | June 21, 2026, 3:35 a.m. |
| NEDg | Description generation | batch_6a375cce6a748190989f2fffd5341e3c |
completed | June 21, 2026, 3:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a375d9623888190b8766e4f1a5bd898 |
completed | June 21, 2026, 3:42 a.m. |
Created at: May 3, 2026, 3:59 p.m.