Triple
T11031452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacSeóin |
E260766
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object | Seán |
E90618
|
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: Seán | Statement: [MacSeóin, derivedFromGivenName, Seán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seán Context triple: [MacSeóin, derivedFromGivenName, Seán]
-
A.
Seán
chosen
Seán is the Irish form of the given name John, commonly used as a male first name in Ireland.
-
B.
Micheál
Micheál is an Irish given name, equivalent to Michael, commonly used in Ireland and among Irish communities worldwide.
-
C.
Pádraig
Pádraig is the Irish form of the given name Patrick, traditionally associated with Saint Patrick and widely used in Irish culture.
-
D.
Máirtín
Máirtín is an Irish given name commonly used in Ireland, equivalent to the English name Martin.
-
E.
Dermot
Dermot is a masculine given name of Irish origin, traditionally meaning “free from envy” or “without enemy.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e58aec8190bb8ffdc71c0614d2 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9a6db688190a740b787448d97b2 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.