Triple
T4813959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel |
E107138
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Niall |
E106087
|
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: Niall | Statement: [Nigel, hasVariant, Niall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niall Context triple: [Nigel, hasVariant, Niall]
-
A.
Niall
chosen
Niall is a given name of Irish origin, often associated with historical and modern Irish figures.
-
B.
Seamus
Seamus is the Irish form of the given name James, commonly used for boys in Ireland and among the Irish diaspora.
-
C.
Declan Ryan
Declan Ryan is an Irish businessman known for his involvement in the aviation industry and as a son of Ryanair co-founder Tony Ryan.
-
D.
Pádraig
Pádraig is the Irish form of the given name Patrick, traditionally associated with Saint Patrick and widely used in Irish culture.
-
E.
Declan O’Brien
Declan O’Brien was an American film director and screenwriter best known for his work on low-budget horror and science fiction movies, including several entries in the "Wrong Turn" franchise.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c80ce048190a7c9f14431d7c62f |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db1b67c81908272d8b7e7e4e1f1 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.