Triple

T33251048
Position Surface form Disambiguated ID Type / Status
Subject Cellach mac Fáelchair E851240 entity
Predicate patronymicName P7966 FINISHED
Object mac Fáelchair
mac Fáelchair was an early medieval Irish figure known primarily as the father of Cellach mac Fáelchair, a member of the dynastic nobility in early Christian Ireland.
E2043583 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: mac Fáelchair | Statement: [Cellach mac Fáelchair, patronymicName, mac Fáelchair]
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: mac Fáelchair
Triple: [Cellach mac Fáelchair, patronymicName, mac Fáelchair]
Generated description
mac Fáelchair was an early medieval Irish figure known primarily as the father of Cellach mac Fáelchair, a member of the dynastic nobility in early Christian Ireland.

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_69f34963135c819084e7f1d483421f00 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6db2b1be88190bef6c2ca36eae580 completed May 3, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3539121f208190952b0790b6e47606 completed June 19, 2026, 12:41 p.m.
NEDg Description generation batch_6a3539d6f5448190aee35547822a99ff completed June 19, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_6a353abc2f7c8190bb5843c25bb84256 completed June 19, 2026, 12:49 p.m.
Created at: May 1, 2026, 1:31 a.m.