Triple
T13774088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pirate Fairy |
E330954
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Rosetta |
E635895
|
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: Rosetta | Statement: [The Pirate Fairy, featuresCharacter, Rosetta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosetta Context triple: [The Pirate Fairy, featuresCharacter, Rosetta]
-
A.
Rosetta
"Rosetta" is a classic jazz standard composed by pianist Earl Hines that has become a staple of the swing and traditional jazz repertoire.
-
B.
Rosetta
chosen
Rosetta is a feminine given name of Latin origin, often considered a diminutive of "Rosa" and associated with meanings related to "little rose."
-
C.
Rosetta
Rosetta is an American post-metal band known for its atmospheric, space-themed soundscapes that blend elements of sludge, post-rock, and ambient music.
-
D.
Rosetta
Rosetta is a European Space Agency spacecraft launched to study comet 67P/Churyumov–Gerasimenko, achieving the first-ever soft landing of a probe on a comet’s surface.
-
E.
Rosetta
Rosetta is a small rural settlement in the KwaZulu-Natal Midlands of South Africa, known for its scenic countryside and proximity to popular tourist routes.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07460c081908b3836a3ec382961 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:10 p.m.