Triple

T30490743
Position Surface form Disambiguated ID Type / Status
Subject Barry & Sons E775856 entity
Predicate notableAssociate P1481 FINISHED
Object Sir John Wolfe Barry
Sir John Wolfe Barry was a prominent British civil engineer best known for designing London’s Tower Bridge and contributing significantly to late 19th-century infrastructure projects.
 E1917108 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: Sir John Wolfe Barry | Statement: [Barry & Sons, notableAssociate, Sir John Wolfe Barry]
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: Sir John Wolfe Barry
Triple: [Barry & Sons, notableAssociate, Sir John Wolfe Barry]
Generated description
Sir John Wolfe Barry was a prominent British civil engineer best known for designing London’s Tower Bridge and contributing significantly to late 19th-century infrastructure projects.

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_69f22497f91c8190afa7165bc900accd completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68748a0548190a881253cf0fd001e completed May 2, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac2cc4108190b044041fd0dad0fa completed June 9, 2026, 6:01 a.m.
NEDg Description generation batch_6a27acd96c448190b597825a60709338 completed June 9, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a27ad7fb6408190a3a03a28aaa3dcc0 completed June 9, 2026, 6:06 a.m.
Created at: April 29, 2026, 8:13 p.m.