Triple

T28767384
Position Surface form Disambiguated ID Type / Status
Subject House of Branković E726312 entity
Predicate notableMember P10 FINISHED
Object Grgur Branković
Grgur Branković was a 15th-century Serbian nobleman and son of despot Đurađ Branković, known for his role in the politics of the late medieval Serbian Despotate under Ottoman pressure.
E1874305 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: Grgur Branković | Statement: [House of Branković, notableMember, Grgur Branković]
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: Grgur Branković
Triple: [House of Branković, notableMember, Grgur Branković]
Generated description
Grgur Branković was a 15th-century Serbian nobleman and son of despot Đurađ Branković, known for his role in the politics of the late medieval Serbian Despotate under Ottoman pressure.

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_69f03198be14819098fa74e48b3749bf completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f65825ace48190ba64bdc631af5e67 completed May 2, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d3e631c81909c1b882ca00bf156 completed June 8, 2026, 2:47 a.m.
NEDg Description generation batch_6a2632d0c8bc8190af26fa5501bba081 completed June 8, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_6a26367d4ccc8190aa6cee70880352ed completed June 8, 2026, 3:26 a.m.
Created at: April 28, 2026, 6:14 a.m.