Triple
T13728337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gia Virginia Chen-De Niro |
E329723
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Virginia Admiral |
E486960
|
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: Virginia Admiral | Statement: [Gia Virginia Chen-De Niro, notableRelative, Virginia Admiral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia Admiral Context triple: [Gia Virginia Chen-De Niro, notableRelative, Virginia Admiral]
-
A.
Virginia Admiral
chosen
Virginia Admiral was an American painter and poet associated with the mid-20th-century New York art scene and the mother of actor Robert De Niro.
-
B.
Anson
Anson is a commercial office building located in the Downtown Core of Singapore’s central business district.
-
C.
Anson
Anson is a masculine given name of English origin, historically borne by figures such as Anson Jones, the last president of the Republic of Texas.
-
D.
Brig Williams
Brig Williams was the British naval vessel commanded by Edward Bransfield during his early 19th-century exploratory voyages toward Antarctica.
-
E.
Admiral Grant
Admiral Grant is a fictional high-ranking naval officer portrayed by actor John Amos.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.