Triple
T894716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neal |
E19317
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
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: [Neal, hasAlternativeSpelling, Niall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niall Context triple: [Neal, hasAlternativeSpelling, 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.
Seán
Seán is the Irish form of the given name John, commonly used as a male first name in Ireland.
-
D.
Brendan
Brendan is a masculine given name of Irish origin, commonly used in English-speaking countries.
-
E.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad22b6fc819093e655c8ce1f738b |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a9339ba2e48190872fd771386ba321 |
completed | March 5, 2026, 7:41 a.m. |
Created at: March 1, 2026, 7:39 p.m.