Triple

T28442677
Position Surface form Disambiguated ID Type / Status
Subject Chris May E715753 entity
Predicate oversees P46 FINISHED
Object Saint Louis Billikens softball program
The Saint Louis Billikens softball program is the NCAA Division I collegiate softball team representing Saint Louis University in intercollegiate competition.
E1822505 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: Saint Louis Billikens softball program | Statement: [Chris May, oversees, Saint Louis Billikens softball program]
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: Saint Louis Billikens softball program
Triple: [Chris May, oversees, Saint Louis Billikens softball program]
Generated description
The Saint Louis Billikens softball program is the NCAA Division I collegiate softball team representing Saint Louis University in intercollegiate competition.

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_69efd6b44550819094ae991b553d9fc3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64e3e642c8190b76da27b9a7fc3b6 completed May 2, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac3b2044819098b3e4a58117418e completed May 31, 2026, 9:46 p.m.
NEDg Description generation batch_6a1cacfc26bc8190ad65e3f8ef7d6d7b completed May 31, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a1cadfcbe9481909de0ae4896d34859 completed May 31, 2026, 9:54 p.m.
Created at: April 28, 2026, 1:47 a.m.