Triple

T35195852
Position Surface form Disambiguated ID Type / Status
Subject St Patrick's Classical School E1016256 entity
Predicate hasNotableAlumni P51 FINISHED
Object Michael Boyle
Michael Boyle is an Irish individual known for being a notable alumnus of St Patrick's Classical School, a prominent secondary school in Navan, County Meath.
E2135241 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: Michael Boyle | Statement: [St Patrick's Classical School, hasNotableAlumni, Michael Boyle]
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: Michael Boyle
Triple: [St Patrick's Classical School, hasNotableAlumni, Michael Boyle]
Generated description
Michael Boyle is an Irish individual known for being a notable alumnus of St Patrick's Classical School, a prominent secondary school in Navan, County Meath.

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_69f76dde814c8190a71f60d514a424a4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78e3148d8819098eb57e1671bf9c0 completed May 3, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3819cc58dc81908a61694502ce0ff7 completed June 21, 2026, 5:05 p.m.
NEDg Description generation batch_6a381bf73fa48190be7a23b36433e189 completed June 21, 2026, 5:14 p.m.
NED2 Entity disambiguation (via description) batch_6a381c5ce0448190a4717181c9721f4b completed June 21, 2026, 5:16 p.m.
Created at: May 3, 2026, 4:02 p.m.