Triple

T32792835
Position Surface form Disambiguated ID Type / Status
Subject Kim Yu-sin E838676 entity
Predicate spouse P13 FINISHED
Object Princess Jiso of Silla
Princess Jiso of Silla was a royal princess of the ancient Korean kingdom of Silla, known for her dynastic marriage into the powerful Kim clan associated with the famed general Kim Yu-sin.
E1418148 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: Princess Jiso of Silla | Statement: [Kim Yu-sin, spouse, Princess Jiso of Silla]
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: Princess Jiso of Silla
Triple: [Kim Yu-sin, spouse, Princess Jiso of Silla]
Generated description
Princess Jiso of Silla was a royal princess of the ancient Korean kingdom of Silla, known for her dynastic marriage into the powerful Kim clan associated with the famed general Kim Yu-sin.

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_69f3493c7f6881908edf2aa13631d1e0 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd78bc58819097ec66b02432b1c2 completed May 3, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3515f97c308190a4ee18577efb98a5 completed June 19, 2026, 10:12 a.m.
NEDg Description generation batch_6a35168b3bec8190983d5bac831c45ae completed June 19, 2026, 10:14 a.m.
NED2 Entity disambiguation (via description) batch_6a35191798188190b1738ac2d2e5e2fd completed June 19, 2026, 10:25 a.m.
Created at: May 1, 2026, 1:14 a.m.