Triple

T33612961
Position Surface form Disambiguated ID Type / Status
Subject Oklahoma Sooners wrestling E861037 entity
Predicate homeArena P373 FINISHED
Object McCasland Field House
McCasland Field House is a historic on-campus arena at the University of Oklahoma known for hosting the school's wrestling program and other athletic and university events.
E2060418 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: McCasland Field House | Statement: [Oklahoma Sooners wrestling, homeArena, McCasland Field House]
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: McCasland Field House
Triple: [Oklahoma Sooners wrestling, homeArena, McCasland Field House]
Generated description
McCasland Field House is a historic on-campus arena at the University of Oklahoma known for hosting the school's wrestling program and other athletic and university events.

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_69f3498037c88190a4500f002b5540e0 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f7e459708190b0a31f51946c630f completed May 3, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3611a18f0881909564c67a59e63fbe completed June 20, 2026, 4:05 a.m.
NEDg Description generation batch_6a36211ddc608190a780193bd49f6442 completed June 20, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a3621a2708481909ce510ca390eddb7 completed June 20, 2026, 5:14 a.m.
Created at: May 1, 2026, 1:41 a.m.