Triple
T9728829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Roe (DD-418) |
E235684
|
entity |
| Predicate | hasSponsor |
P35686
|
FINISHED |
| Object | Miss Margaret C. Roe |
E235684
|
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: Miss Margaret C. Roe | Statement: [USS Roe (DD-418), hasSponsor, Miss Margaret C. Roe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Margaret C. Roe Context triple: [USS Roe (DD-418), hasSponsor, Miss Margaret C. Roe]
-
A.
Miss Margaret C. Roe
chosen
Miss Margaret C. Roe was the ceremonial sponsor of the U.S. Navy destroyer USS Roe (DD-418), participating in its christening and launch.
-
B.
Margaret Whitmore
Margaret Whitmore is best known as the wife of American physician-turned-thriller novelist Robin Cook.
-
C.
Margaret A. Merritt
Margaret A. Merritt was an American woman best known as the mother of Janet Lee Bouvier, making her the maternal grandmother of Jacqueline Kennedy Onassis.
-
D.
Margaret Cox
Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
-
E.
Margaret Barnhill
Margaret Barnhill was the wife of New York businessman Cornelius Van Schaack Roosevelt and the grandmother of U.S. President Theodore Roosevelt.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eafa3a88190bc62924d94b89cd8 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fb5f5bc8190ae53bc5c165b5ac7 |
completed | April 4, 2026, 11:33 p.m. |
Created at: March 30, 2026, 8:21 p.m.