Triple

T23891103
Position Surface form Disambiguated ID Type / Status
Subject Tait E600770 entity
Predicate hasNotableBearer P458 FINISHED
Object Arthur Fitzwilliam Tait
Arthur Fitzwilliam Tait was a 19th-century British-American artist renowned for his detailed paintings of wildlife, hunting scenes, and rural American life, many of which were reproduced as popular Currier and Ives lithographs.
 E1656051 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: Arthur Fitzwilliam Tait | Statement: [Tait, hasNotableBearer, Arthur Fitzwilliam Tait]
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: Arthur Fitzwilliam Tait
Triple: [Tait, hasNotableBearer, Arthur Fitzwilliam Tait]
Generated description
Arthur Fitzwilliam Tait was a 19th-century British-American artist renowned for his detailed paintings of wildlife, hunting scenes, and rural American life, many of which were reproduced as popular Currier and Ives lithographs.

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_69e295341ac0819080647f2908af793c completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cd036dd48190be508063b18762a4 completed April 29, 2026, 9:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1032d2a29c81909d1ed03645c0dab5 completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a10341e764c819083c10e4d151da1c6 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034c45fb88190865f904fd8e766b3 completed May 22, 2026, 10:49 a.m.
Created at: April 17, 2026, 8:25 p.m.