Triple

T31152723
Position Surface form Disambiguated ID Type / Status
Subject John W. Simpson E794121 entity
Predicate nameInEnglish P3437 FINISHED
Object John W. Simpson
John W. Simpson is a relatively obscure individual whose specific notability or professional background is not clearly established from the available information.
 E2026432 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 W. Simpson | Statement: [John W. Simpson, nameInEnglish, John W. Simpson]
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 W. Simpson
Triple: [John W. Simpson, nameInEnglish, John W. Simpson]
Generated description
John W. Simpson is a relatively obscure individual whose specific notability or professional background is not clearly established from the available information.

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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f697f0f01481908d6b29a1a497dca1 completed May 3, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bccbc5588190932353330e6367c4 completed June 19, 2026, 3:51 a.m.
NEDg Description generation batch_6a34bdc35a24819088892cb8a675a225 completed June 19, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_6a34be6eb1808190a6bc47b8d79489ed completed June 19, 2026, 3:58 a.m.
Created at: April 29, 2026, 9:06 p.m.