Triple

T37493522
Position Surface form Disambiguated ID Type / Status
Subject Yale, British Columbia E931762 entity
Predicate namedAfter P63 FINISHED
Object James Murray Yale
James Murray Yale was a 19th-century Hudson's Bay Company fur trader and factor who played a significant role in the early colonial history of what is now British Columbia.
E2227940 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: James Murray Yale | Statement: [Yale, British Columbia, namedAfter, James Murray Yale]
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: James Murray Yale
Triple: [Yale, British Columbia, namedAfter, James Murray Yale]
Generated description
James Murray Yale was a 19th-century Hudson's Bay Company fur trader and factor who played a significant role in the early colonial history of what is now British Columbia.

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_69f76ec457a4819094eeb3aed9baac11 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba37dbbc88190b45f8f6922f6aa81 completed May 6, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a408c4bac8c8190892a51ab1a00adb3 completed June 28, 2026, 2:51 a.m.
NEDg Description generation batch_6a408cd26aa88190b7736eb378220dd0 completed June 28, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_6a408d4b170081908dfd09b0b6afda3c completed June 28, 2026, 2:56 a.m.
Created at: May 3, 2026, 4:17 p.m.