Triple

T38609162
Position Surface form Disambiguated ID Type / Status
Subject Watson Brown E934428 entity
Predicate relative P37 FINISHED
Object John Brown Jr.
John Brown Jr. was the eldest son of the American abolitionist John Brown, known for his involvement in his father's anti-slavery activities and the turbulent events in Kansas before the Civil War.
 E218553 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: John Brown Jr. | Statement: [Watson Brown, relative, John Brown Jr.]
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: John Brown Jr.
Triple: [Watson Brown, relative, John Brown Jr.]
Generated description
John Brown Jr. was the eldest son of the American abolitionist John Brown, known for his involvement in his father's anti-slavery activities and the turbulent events in Kansas before the Civil War.

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_69f76eccd6d081909ccce171011739a1 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd96cda148190b19acdd6e7204d90 completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4223a750e8819084de22f574074edf completed June 29, 2026, 7:49 a.m.
NEDg Description generation batch_6a42277d406481908744f62d8b6422d5 completed June 29, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_6a4228885dcc8190ab9202dad1a966f4 completed June 29, 2026, 8:10 a.m.
Created at: May 3, 2026, 4:32 p.m.