Triple
T10433964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artystone |
E245988
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Cassandane |
E69572
|
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: Cassandane | Statement: [Artystone, relative, Cassandane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassandane Context triple: [Artystone, relative, Cassandane]
-
A.
Cassandane
chosen
Cassandane was a Persian noblewoman of the Achaemenid dynasty, best known as the queen consort of Cyrus the Great and mother of his successor Cambyses II.
-
B.
Kassanda
Kassanda is a district in central Uganda that forms part of the traditional kingdom of Buganda.
-
C.
Pylia
Pylia is a figure in Greek mythology known primarily as the mother of Aegeus, the legendary king of Athens and father of Theseus.
-
D.
Myrta
Myrta is a feminine given name, often used in various cultures and sometimes appearing in literature and media as a character name.
-
E.
Nerissa
Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea65afe08190b91260c9267a0f14 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb8c70481909b9320af15f2b5e9 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:14 p.m.