Triple
T19100404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moreta: Dragonlady of Pern |
E467515
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Moreta |
—
|
NE NERFINISHED |
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: Moreta | Statement: [Moreta: Dragonlady of Pern, protagonist, Moreta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moreta Context triple: [Moreta: Dragonlady of Pern, protagonist, Moreta]
-
A.
Moreta
chosen
Moreta is a central heroine in Anne McCaffrey’s Dragonriders of Pern series, known for her courage and tragic sacrifice during a devastating plague on Pern.
-
B.
Livaneli
Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
-
C.
Morelle
Morelle is a surname most notably associated with American politician Joseph D. Morelle, a U.S. Representative from New York.
-
D.
Maretha
Maretha is a young girl in the television film adaptation of August Wilson's "The Piano Lesson," representing the family's next generation and their hopes for a better future.
-
E.
Nives
Nives is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36d279081908aeb472cd740c302 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.