Triple
T19134408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marica |
E468399
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | King Latinus |
—
|
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: King Latinus | Statement: [Marica, associatedWith, King Latinus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Latinus Context triple: [Marica, associatedWith, King Latinus]
-
A.
King Latinus
chosen
King Latinus is a legendary ruler of Latium in Roman mythology, best known from Virgil’s Aeneid as the monarch who receives the Trojan hero Aeneas and becomes an ancestor of the Roman people.
-
B.
King Proetus
King Proetus is a mythological ruler in Greek legend, best known as the king of Tiryns who becomes entangled in the adventures of the hero Bellerophon.
-
C.
Prince Tarquin
Prince Tarquin is a central fictional nobleman in Aphra Behn’s novella *The Fair Jilt*, around whom much of the story’s intrigue and romantic drama revolves.
-
D.
King of Etruria
The King of Etruria was the monarch who ruled the short-lived Napoleonic client state of the Kingdom of Etruria in early 19th-century Italy.
-
E.
Orival
Orival is a small French commune located within the metropolitan area of Rouen in the Normandy region.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ec4c848190af450bf5bf8db5e7 |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.