Triple
T8362210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Laird Borden |
E197034
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Borden |
E603478
|
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: Borden | Statement: [Robert Laird Borden, familyName, Borden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borden Context triple: [Robert Laird Borden, familyName, Borden]
-
A.
Borden
chosen
Borden is a small community in Essa Township, Ontario, best known for the nearby Canadian Forces Base Borden.
-
B.
Boland
Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
-
C.
Byfield
Byfield is a locality within the Shire of Keppel in Queensland, Australia, known for its coastal forests and proximity to national parkland.
-
D.
Brewster
Brewster is an English occupational surname historically associated with brewing ale or beer.
-
E.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8074e4588190b394d1622adca2cb |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc77cf2ac8190a1c5b618fd64da73 |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 6 p.m.