Triple
T6618056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Pius Boland |
E149603
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Boland |
E555286
|
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: Boland | Statement: [John Pius Boland, familyName, Boland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boland Context triple: [John Pius Boland, familyName, Boland]
-
A.
Boland
chosen
Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
-
B.
Noland
Noland is a surname most notably associated with Kenneth Noland, an influential American abstract painter linked to the Color Field movement.
-
C.
Sholto
Sholto is a masculine given name of Scottish origin, historically associated with figures such as military leaders and nobles.
-
D.
Bosteros
Bosteros is a popular nickname for supporters and players of the Argentine football club Boca Juniors, reflecting the club’s working-class roots and passionate fan culture.
-
E.
Lobethal
Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af5b21348190b7f09045e9ec7d63 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbde37288190b1e65589aa09b676 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:58 p.m.