Triple

T31258024
Position Surface form Disambiguated ID Type / Status
Subject Eóganachta dynasty E797033 entity
Predicate notableMember P10 FINISHED
Object Cathal mac Finguine
Cathal mac Finguine was an early 8th-century king of Munster and one of the most powerful Irish overkings of his time, noted for his military campaigns and political influence.
E2183109 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: Cathal mac Finguine | Statement: [Eóganachta dynasty, notableMember, Cathal mac Finguine]
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: Cathal mac Finguine
Triple: [Eóganachta dynasty, notableMember, Cathal mac Finguine]
Generated description
Cathal mac Finguine was an early 8th-century king of Munster and one of the most powerful Irish overkings of his time, noted for his military campaigns and political influence.

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_69f224dd5fdc81908a4cd24917b67668 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69d8917348190bda99c6ef3f5c0fb completed May 3, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a39c3d55c908190a59ddb6d80a4f8fa completed June 22, 2026, 11:23 p.m.
NEDg Description generation batch_6a39c48912548190bd632d5e355f3cb2 completed June 22, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a39c55c9d188190b9a5dab4ca8036e8 completed June 22, 2026, 11:29 p.m.
Created at: April 29, 2026, 9:12 p.m.