Triple
T17014324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgianna |
E412778
|
entity |
| Predicate | alternativeSpellingOf |
P457
|
FINISHED |
| Object | Morgiana |
E87904
|
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: Morgiana | Statement: [Morgianna, alternativeSpellingOf, Morgiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgiana Context triple: [Morgianna, alternativeSpellingOf, Morgiana]
-
A.
Morgiana
chosen
Morgiana is a clever and resourceful slave girl in the tale of "Ali Baba and the Forty Thieves" from The Arabian Nights, famed for outwitting the thieves and saving her master.
-
B.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
C.
Damona
Damona is a main character on the sitcom "Dr. Ken," known as Ken's sharp-tongued, loyal receptionist and friend.
-
D.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
E.
Raimonda
Raimonda is a feminine given name, commonly used as the female form of Raymond in various European 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47e64f081908f43870c7564d0ae |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4990948190861ff81f8fc3e8f2 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:33 a.m.