Triple
T22595431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma C. Revell Moody |
E574665
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Revell |
—
|
NE NERFINISHED |
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: Revell | Statement: [Emma C. Revell Moody, givenName, Revell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Revell Context triple: [Emma C. Revell Moody, givenName, Revell]
-
A.
Revell
chosen
Revell is a surname most notably associated with Finnish architect Viljo Revell, known for his modernist designs such as Toronto City Hall.
-
B.
Revell Ward Stand
Revell Ward Stand is a spectator stand at John Smith's Stadium in Huddersfield, England, used for hosting fans during football and rugby league matches.
-
C.
Tamiya
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
-
D.
Vultee Aircraft
Vultee Aircraft was an American aircraft manufacturer active before and during World War II, known for producing military trainers and bombers before eventually becoming part of Convair through industry consolidation.
-
E.
Folland Aircraft
Folland Aircraft was a British aircraft manufacturer best known for producing light fighter and trainer aircraft in the post-World War II era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16268cb54819084a0f27ec0473f35 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:49 p.m.