Triple
T4099534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgiana |
E87904
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Morgiána |
E412778
|
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: Morgiána | Statement: [Morgiana, hasNameVariant, Morgiána]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgiána Context triple: [Morgiana, hasNameVariant, Morgiána]
-
A.
Romeyka
Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
-
B.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
C.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
D.
Morgianna
chosen
Morgianna is an alternative spelling of Morgiana, a character best known as the clever and resourceful slave girl from the tale "Ali Baba and the Forty Thieves" in One Thousand and One Nights.
-
E.
Marya
Marya is a feminine given name, often considered a variant of Mary and used in various cultures and languages.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0d9c508190b8aedf83f3310513 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576a1a0408190aa4683a0904790aa |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:40 p.m.