Triple

T31330613
Position Surface form Disambiguated ID Type / Status
Subject Chicago Community Trust E799014 entity
Predicate foundedBy P104 FINISHED
Object Norman Wait Harris
Norman Wait Harris was an American banker and philanthropist best known for founding the Chicago Community Trust and for his significant contributions to civic and cultural institutions in Chicago.
E1968679 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: Norman Wait Harris | Statement: [Chicago Community Trust, foundedBy, Norman Wait Harris]
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: Norman Wait Harris
Triple: [Chicago Community Trust, foundedBy, Norman Wait Harris]
Generated description
Norman Wait Harris was an American banker and philanthropist best known for founding the Chicago Community Trust and for his significant contributions to civic and cultural institutions in Chicago.

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_69f224e3f6ac8190a13488516abca7c9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69ee0a3dc8190947fed6e015be9b9 completed May 3, 2026, 1:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b561bae98819096053ff5dfd0cf63 completed June 12, 2026, 12:43 a.m.
NEDg Description generation batch_6a2b582d76f48190a79f766548d7292e completed June 12, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_6a2b58de3f5c819098fdc0a6922670a1 completed June 12, 2026, 12:54 a.m.
Created at: April 29, 2026, 9:16 p.m.