Triple

T24405545
Position Surface form Disambiguated ID Type / Status
Subject Heartland Wrestling Association E615299 entity
Predicate hasAlumni P51 FINISHED
Object Anthony McMurphy
Anthony McMurphy is a professional wrestler best known for competing in the Heartland Wrestling Association, an Ohio-based independent wrestling promotion.
E1631118 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: Anthony McMurphy | Statement: [Heartland Wrestling Association, hasAlumni, Anthony McMurphy]
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: Anthony McMurphy
Triple: [Heartland Wrestling Association, hasAlumni, Anthony McMurphy]
Generated description
Anthony McMurphy is a professional wrestler best known for competing in the Heartland Wrestling Association, an Ohio-based independent wrestling promotion.

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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f294de76848190bd2cf3c7add2dcf1 completed April 29, 2026, 11:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd689db7c819093b3225fe2efcf6e completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd870ba548190acc06f694170e997 completed May 22, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8f7c44881909c84a8baac1bcd02 completed May 22, 2026, 4:17 a.m.
Created at: April 18, 2026, 2:05 a.m.