Triple
T14241682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doria Ragland |
E353022
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Doria |
E796771
|
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: Doria | Statement: [Doria Ragland, givenName, Doria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doria Context triple: [Doria Ragland, givenName, Doria]
-
A.
Doria
chosen
Doria is an influential Genoese noble family historically prominent in maritime, political, and military affairs of the Republic of Genoa.
-
B.
Barbarigo
Barbarigo is an Italian noble family name historically associated with prominent Venetian statesmen and doges.
-
C.
Iolanda
Iolanda is a feminine given name, a variant of Yolanda, used in various European languages.
-
D.
Medina Sidonia
Medina Sidonia was a Spanish nobleman and admiral best known for commanding the Spanish Armada during its ill-fated 1588 campaign against England.
-
E.
Maddalena
Maddalena is the Italian form of the given name Magdalena, traditionally associated with Mary Magdalene in Christian tradition.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6244ad188190b9d9db7914240410 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28235880819094f5983cce01b0fc |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.