Triple

T33841730
Position Surface form Disambiguated ID Type / Status
Subject Barbu E867376 entity
Predicate hasNotableBearer P458 FINISHED
Object Barbu Bălcescu
Barbu Bălcescu was a 19th-century Romanian lawyer, politician, and revolutionary, known as the younger brother of Nicolae Bălcescu and for his involvement in the Wallachian revolutionary movement.
E2073400 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: Barbu Bălcescu | Statement: [Barbu, hasNotableBearer, Barbu Bălcescu]
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: Barbu Bălcescu
Triple: [Barbu, hasNotableBearer, Barbu Bălcescu]
Generated description
Barbu Bălcescu was a 19th-century Romanian lawyer, politician, and revolutionary, known as the younger brother of Nicolae Bălcescu and for his involvement in the Wallachian revolutionary movement.

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_69f34992ad40819087760ed939bd2a7a completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7004f4d9c8190b6517493f08084d4 completed May 3, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36822ef8e88190954ed0d51c1f84a2 completed June 20, 2026, 12:06 p.m.
NEDg Description generation batch_6a3683f55cb88190bc7fd6d9db4e99e0 completed June 20, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_6a36848248c081909b5ab57a8c3accc6 completed June 20, 2026, 12:16 p.m.
Created at: May 1, 2026, 1:47 a.m.