Triple

T25167830
Position Surface form Disambiguated ID Type / Status
Subject William R. Burnham E630229 entity
Predicate partnerInBusinessOrProfessionalRelationship P33497 FINISHED
Object Frank E. Edbrooke
Frank E. Edbrooke was a prominent American architect known for designing many significant buildings in Denver, Colorado, during the late 19th and early 20th centuries.
E2294630 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: Frank E. Edbrooke | Statement: [William R. Burnham, partnerInBusinessOrProfessionalRelationship, Frank E. Edbrooke]
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: Frank E. Edbrooke
Triple: [William R. Burnham, partnerInBusinessOrProfessionalRelationship, Frank E. Edbrooke]
Generated description
Frank E. Edbrooke was a prominent American architect known for designing many significant buildings in Denver, Colorado, during the late 19th and early 20th centuries.

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_69e75a87c9b88190ab60731902a99750 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46d43e6d08190bbd8643ea058ceea completed May 1, 2026, 9:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7c07731c688190b574f3c954788d73 completed Aug. 12, 2026, 5:41 a.m.
NEDg Description generation batch_6a7c0863dee08190998b2b0e796e3b93 completed Aug. 12, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_6a7c08bab3e8819098b483c9dbe4eeec completed Aug. 12, 2026, 5:46 a.m.
Created at: April 21, 2026, 12:18 p.m.