Triple

T30954755
Position Surface form Disambiguated ID Type / Status
Subject Síl nÁedo Sláine E788643 entity
Predicate notableMember P10 FINISHED
Object Máel Dúin mac Fergusa
Máel Dúin mac Fergusa was an early medieval Irish king and dynast from the Uí Néill lineage, associated with the northern Brega branch of the Síl nÁedo Sláine.
E1981696 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: Máel Dúin mac Fergusa | Statement: [Síl nÁedo Sláine, notableMember, Máel Dúin mac Fergusa]
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: Máel Dúin mac Fergusa
Triple: [Síl nÁedo Sláine, notableMember, Máel Dúin mac Fergusa]
Generated description
Máel Dúin mac Fergusa was an early medieval Irish king and dynast from the Uí Néill lineage, associated with the northern Brega branch of the Síl nÁedo Sláine.

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_69f224c28c1881908c33b45d689f1724 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69348ec60819080fca30eba362d5d completed May 3, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e7fb73b4c8190a8f0cda63e6f75d1 completed June 14, 2026, 10:17 a.m.
NEDg Description generation batch_6a2e808c5b1081909fdf8a3c7ab91459 completed June 14, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8155e4788190badcebd73ae27e02 completed June 14, 2026, 10:24 a.m.
Created at: April 29, 2026, 8:53 p.m.