Triple

T23647972
Position Surface form Disambiguated ID Type / Status
Subject Blumenthal E584089 entity
Predicate hasNotableBearer P458 FINISHED
Object Sidney Blumenthal
Sidney Blumenthal is an American journalist, political aide, and author best known for his close advisory role to Bill and Hillary Clinton and his extensive writings on U.S. politics and Abraham Lincoln.
E1599706 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: Sidney Blumenthal | Statement: [Blumenthal, hasNotableBearer, Sidney Blumenthal]
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: Sidney Blumenthal
Triple: [Blumenthal, hasNotableBearer, Sidney Blumenthal]
Generated description
Sidney Blumenthal is an American journalist, political aide, and author best known for his close advisory role to Bill and Hillary Clinton and his extensive writings on U.S. politics and Abraham Lincoln.

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_69e248fefafc81909656921192f30e80 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b28643348190add3666638951680 completed April 29, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53a1a34481909919688f9222f9eb completed May 21, 2026, 6:49 p.m.
NEDg Description generation batch_6a0f54af0b108190a7c3e0ac0f48aabf completed May 21, 2026, 6:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f5587b89481908744d12128349956 completed May 21, 2026, 6:57 p.m.
Created at: April 17, 2026, 6:48 p.m.