Triple

T28764229
Position Surface form Disambiguated ID Type / Status
Subject John Euliano Park E726212 entity
Predicate namedAfter P63 FINISHED
Object John Euliano
John Euliano is a benefactor and namesake associated with the University of Central Florida’s baseball program, recognized for his significant support that led to the naming of John Euliano Park.
E2065920 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 Euliano | Statement: [John Euliano Park, namedAfter, John Euliano]
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 Euliano
Triple: [John Euliano Park, namedAfter, John Euliano]
Generated description
John Euliano is a benefactor and namesake associated with the University of Central Florida’s baseball program, recognized for his significant support that led to the naming of John Euliano Park.

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_69f03198be14819098fa74e48b3749bf completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f65822594c8190b8c187c1f2fb4b8d completed May 2, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a365c4e48c081909c89d9fc7a13b789 completed June 20, 2026, 9:24 a.m.
NEDg Description generation batch_6a365dcf9e188190984b5728842ec459 completed June 20, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_6a365f8e761c819088a969d0180fb5e7 completed June 20, 2026, 9:38 a.m.
Created at: April 28, 2026, 6:13 a.m.