Triple
T4534931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Tractable |
E107384
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Harry Crerar |
E235593
|
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: Harry Crerar | Statement: [Operation Tractable, commander, Harry Crerar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Crerar Context triple: [Operation Tractable, commander, Harry Crerar]
-
A.
Harry Crerar
chosen
Harry Crerar was a senior Canadian Army officer in the Second World War who rose to command the First Canadian Army in Northwest Europe.
-
B.
Henry Braham
Henry Braham is a British cinematographer known for his work on major films such as The Suicide Squad, Guardians of the Galaxy Vol. 2, and Nanny McPhee.
-
C.
Paul Rivet
Paul Rivet was a French ethnologist and anthropologist renowned for his pioneering work on human cultures and for helping establish modern French anthropology.
-
D.
Walter Bidlake
Walter Bidlake is a fictional character in Aldous Huxley’s satirical novel "Point Counter Point," representing aspects of English intellectual and social life in the 1920s.
-
E.
Walter Baker
Walter Baker is a notable individual whose name is associated with various historical and professional contexts, including business and public service.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a2301c8190aa59280a16750156 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacf016d0819080665256c84d37a3 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:04 p.m.