Triple

T35320254
Position Surface form Disambiguated ID Type / Status
Subject King of Desmond E1020019 entity
Predicate hasTitleVariant P455 FINISHED
Object King of South Munster
The King of South Munster was a medieval Irish monarch who ruled the southern portion of the province of Munster, historically associated with the kingdom of Desmond.
E2138459 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: King of South Munster | Statement: [King of Desmond, hasTitleVariant, King of South Munster]
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: King of South Munster
Triple: [King of Desmond, hasTitleVariant, King of South Munster]
Generated description
The King of South Munster was a medieval Irish monarch who ruled the southern portion of the province of Munster, historically associated with the kingdom of Desmond.

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_69f76de9d45c81908a2ed0956b448b65 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79099b9508190934ec3469af1f827 completed May 3, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382cab14408190bf1daf2306378a95 completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382d71fa54819095ef74046c139e7a completed June 21, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_6a382e22044881909da22a48db669457 completed June 21, 2026, 6:32 p.m.
Created at: May 3, 2026, 4:03 p.m.