Triple

T35331730
Position Surface form Disambiguated ID Type / Status
Subject Ivan Alexander of Bulgaria E1020338 entity
Predicate dynasty P1547 FINISHED
Object Sratsimir dynasty
The Sratsimir dynasty was a medieval Bulgarian royal house that ruled parts of the Second Bulgarian Empire, most notably through Tsar Ivan Alexander and his descendants.
E2136072 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: Sratsimir dynasty | Statement: [Ivan Alexander of Bulgaria, dynasty, Sratsimir dynasty]
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: Sratsimir dynasty
Triple: [Ivan Alexander of Bulgaria, dynasty, Sratsimir dynasty]
Generated description
The Sratsimir dynasty was a medieval Bulgarian royal house that ruled parts of the Second Bulgarian Empire, most notably through Tsar Ivan Alexander and his descendants.

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_69f76deacf4481908e7735a5a7715b0a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7910fb5208190a955bc6300038138 completed May 3, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823c69da48190add91e6ccd865022 completed June 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a3824ae9a6c819092d832eff5eda1b1 completed June 21, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_6a38259e02008190a092861c82d08363 completed June 21, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:03 p.m.