Triple

T37832263
Position Surface form Disambiguated ID Type / Status
Subject Mac Bethad mac Findláich E943236 entity
Predicate relative P37 FINISHED
Object Boite mac Cináeda
Boite mac Cináeda was a Scottish nobleman of the 11th century, traditionally identified as a son of King Kenneth III and thus a member of the royal House of Alpin.
E2245589 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: Boite mac Cináeda | Statement: [Mac Bethad mac Findláich, relative, Boite mac Cináeda]
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: Boite mac Cináeda
Triple: [Mac Bethad mac Findláich, relative, Boite mac Cináeda]
Generated description
Boite mac Cináeda was a Scottish nobleman of the 11th century, traditionally identified as a son of King Kenneth III and thus a member of the royal House of Alpin.

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_69f76eea4c8c8190a335aed5955cf2db completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb1ef97f88190b087ef90e953d46e completed May 6, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40fb834a988190aca7fc6a981f4fd2 completed June 28, 2026, 10:46 a.m.
NEDg Description generation batch_6a40fc1014b481909d49228689c8a7d7 completed June 28, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a40fd1546c081909e9ceebadb9ef51a completed June 28, 2026, 10:53 a.m.
Created at: May 3, 2026, 4:19 p.m.