Triple
T22448160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vampire Academy |
E554917
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Richelle Mead |
—
|
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: Richelle Mead | Statement: [Vampire Academy, author, Richelle Mead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richelle Mead Context triple: [Vampire Academy, author, Richelle Mead]
-
A.
Richelle Mead
chosen
Richelle Mead is an American fantasy author best known for her popular young adult and urban fantasy series, including the Vampire Academy and Bloodlines novels.
-
B.
Sarah Shephard
Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
-
C.
Alexandra Bracken
Alexandra Bracken is an American author best known for her young adult science fiction and fantasy novels, particularly the popular dystopian series that began with *The Darkest Minds*.
-
D.
Cassandra Clare
Cassandra Clare is a bestselling American author of young adult urban fantasy novels, best known for creating the Shadowhunter Chronicles series.
-
E.
Sara Shepard
Sara Shepard is an American author best known for writing the young adult mystery series "Pretty Little Liars," which inspired the popular television adaptation.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b48be0481909f4601b732424e5b |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.