Triple

T28462197
Position Surface form Disambiguated ID Type / Status
Subject Joe Walton E720182 entity
Predicate hasStadiumNamedAfter P44663 FINISHED
Object Joe Walton Stadium
Joe Walton Stadium is a college football venue best known as the home field of Robert Morris University's football team, named in honor of their founding head coach Joe Walton.
E1862953 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: Joe Walton Stadium | Statement: [Joe Walton, hasStadiumNamedAfter, Joe Walton Stadium]
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: Joe Walton Stadium
Triple: [Joe Walton, hasStadiumNamedAfter, Joe Walton Stadium]
Generated description
Joe Walton Stadium is a college football venue best known as the home field of Robert Morris University's football team, named in honor of their founding head coach Joe Walton.

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_69f01a58a67c819097936d9e8da8d6e6 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64ea65e7c81909de1135dd4d5a1e0 completed May 2, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a8323f548190a280bbba933bb224 completed June 7, 2026, 5:19 p.m.
NEDg Description generation batch_6a25acb956e0819081699c2a218afbc8 completed June 7, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a25b13b60088190bfe08fd65547a593 completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 2:41 a.m.