Triple
T9231994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Carillon |
E221839
|
entity |
| Predicate | attackedBy |
P2363
|
FINISHED |
| Object | James Abercrombie |
E33274
|
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: James Abercrombie | Statement: [Fort Carillon, attackedBy, James Abercrombie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Abercrombie Context triple: [Fort Carillon, attackedBy, James Abercrombie]
-
A.
James Abercrombie
chosen
James Abercrombie was a British Army officer who fought in the early campaigns of the American Revolutionary War, including the Battle of Bunker Hill.
-
B.
Peter Armitage
Peter Armitage was a British actor best known for his long-running role as Bill Webster in the soap opera "Coronation Street."
-
C.
Jonathan Abrams
Jonathan Abrams is a Canadian software engineer and entrepreneur best known for creating the early social networking site Friendster.
-
D.
Iain Armitage
Iain Armitage is an American child actor best known for starring as young Sheldon Cooper in the TV series "Young Sheldon" and for his voice work in animated films and shows.
-
E.
Michael Ames
Michael Ames is a personal name shared by multiple individuals, including professionals in fields such as politics, academia, and the arts.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1a7e9881908e0c11f242162017 |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077b0ed7c8190a7e8b95091033507 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:29 p.m.