Triple
T38356595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnian of Clonard |
E1046344
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Canice of Aghaboe
Canice of Aghaboe was a 6th-century Irish monk and missionary, venerated as a saint and founder of the monastery at Aghaboe, and is regarded as one of the Twelve Apostles of Ireland.
|
E2265982
|
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: Canice of Aghaboe | Statement: [Finnian of Clonard, notableStudent, Canice of Aghaboe]
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: Canice of Aghaboe Triple: [Finnian of Clonard, notableStudent, Canice of Aghaboe]
Generated description
Canice of Aghaboe was a 6th-century Irish monk and missionary, venerated as a saint and founder of the monastery at Aghaboe, and is regarded as one of the Twelve Apostles of 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc73689008190bcb1a74026edf8de |
completed | May 7, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41a7fd71788190a4928633e49afa62 |
completed | June 28, 2026, 11:02 p.m. |
| NEDg | Description generation | batch_6a41a90ed25c81908dcdbb7e687394c5 |
completed | June 28, 2026, 11:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41a9aecf108190a0833bde27cb0e6a |
completed | June 28, 2026, 11:09 p.m. |
Created at: May 3, 2026, 4:31 p.m.