Triple
T12939621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the megas doux |
E309603
|
entity |
| Predicate | hasTitleForm |
P2351
|
FINISHED |
| Object | megas doux |
E1010811
|
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: megas doux | Statement: [Office of the megas doux, hasTitleForm, megas doux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: megas doux Context triple: [Office of the megas doux, hasTitleForm, megas doux]
-
A.
megas doux
chosen
The megas doux was the highest-ranking naval commander and one of the most powerful military officials in the Byzantine Empire.
-
B.
Doux
Doux is the French name of the Doux River, a watercourse in southeastern France.
-
C.
Doux
Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
-
D.
MEG
MEG is the stock ticker symbol of Megaworld Corporation, a major Philippine real estate developer known for its large-scale township projects.
-
E.
Dulcissime
"Dulcissime" is the climactic, high-flying soprano solo that concludes the "Cour d'amours" section of Carl Orff’s cantata Carmina Burana.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dca2ee88190b45fafe7d53c35c9 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0ec7e8081909fcff6cff11a9337 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:43 p.m.