Triple
T14079427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curtis LeMay |
E338825
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | LeMay |
E338825
|
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: LeMay | Statement: [Curtis LeMay, familyName, LeMay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LeMay Context triple: [Curtis LeMay, familyName, LeMay]
-
A.
LeMay
chosen
LeMay is a surname most notably associated with U.S. Air Force General Curtis LeMay, a key architect of strategic bombing during World War II and the Cold War.
-
B.
Coutras
Coutras is a commune in southwestern France known historically as the site of a major battle during the French Wars of Religion.
-
C.
McRae
McRae is a Scottish-origin surname borne by numerous notable individuals across sports, politics, and the arts.
-
D.
de Mille
De Mille is a surname most famously associated with American choreographer and dancer Agnes de Mille and her influential contributions to 20th-century musical theatre and ballet.
-
E.
Prudhomme
Prudhomme is a French surname historically associated with various notable figures in politics, literature, and public life.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb672c08081908e1ff9030745776a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.