Triple

T37610111
Position Surface form Disambiguated ID Type / Status
Subject Bistrița Monastery E935763 entity
Predicate foundedBy P104 FINISHED
Object Danciu Craiovescu
Danciu Craiovescu was a Wallachian boyar from the influential Craiovești family, known as an important medieval patron and founder of religious institutions.
E2239349 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: Danciu Craiovescu | Statement: [Bistrița Monastery, foundedBy, Danciu Craiovescu]
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: Danciu Craiovescu
Triple: [Bistrița Monastery, foundedBy, Danciu Craiovescu]
Generated description
Danciu Craiovescu was a Wallachian boyar from the influential Craiovești family, known as an important medieval patron and founder of religious institutions.

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_69f76ed0a85481909254a8a89090c826 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba9041124819082c03fa098d06360 completed May 6, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40cdab674c81908a047785e8aaafa7 completed June 28, 2026, 7:30 a.m.
NEDg Description generation batch_6a40cef47dd48190bbafaeb5f5b741d1 completed June 28, 2026, 7:36 a.m.
NED2 Entity disambiguation (via description) batch_6a40d115067c8190a84ca03cf0bcf1e6 completed June 28, 2026, 7:45 a.m.
Created at: May 3, 2026, 4:18 p.m.