Triple

T31438500
Position Surface form Disambiguated ID Type / Status
Subject Delaware Park Lake E802003 entity
Predicate namedAfter P63 FINISHED
Object Hoyt family of Buffalo
The Hoyt family of Buffalo was a prominent local family whose influence and philanthropy in the Buffalo, New York area led to landmarks such as Delaware Park Lake bearing their name.
E1962962 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: Hoyt family of Buffalo | Statement: [Delaware Park Lake, namedAfter, Hoyt family of Buffalo]
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: Hoyt family of Buffalo
Triple: [Delaware Park Lake, namedAfter, Hoyt family of Buffalo]
Generated description
The Hoyt family of Buffalo was a prominent local family whose influence and philanthropy in the Buffalo, New York area led to landmarks such as Delaware Park Lake bearing their name.

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_69f348c475348190bf579ca858eec77c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a0f014148190aa1b28824171e7de completed May 3, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b077efc708190aa419c6094f4a99a completed June 11, 2026, 7:07 p.m.
NEDg Description generation batch_6a2b0846c0c88190b7c1b6a06e958fa3 completed June 11, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_6a2b09b430388190832809716830d009 completed June 11, 2026, 7:17 p.m.
Created at: April 30, 2026, 9:03 p.m.