Triple
T5861563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twilight |
E130285
|
entity |
| Predicate | narrator |
P2181
|
FINISHED |
| Object | Bella Swan |
E69017
|
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: Bella Swan | Statement: [Twilight, narrator, Bella Swan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bella Swan Context triple: [Twilight, narrator, Bella Swan]
-
A.
Bella Swan
chosen
Bella Swan is the human-turned-vampire protagonist of Stephenie Meyer’s Twilight Saga, known for her intense romance with Edward Cullen and central role in the series’ supernatural conflicts.
-
B.
Esme Cullen
Esme Cullen is the compassionate matriarch of the Cullen vampire family in Stephenie Meyer’s Twilight Saga.
-
C.
Alice Cullen
Alice Cullen is a clairvoyant, fashion-loving vampire and member of the Cullen family in the Twilight series, known for her close bond with Bella Swan.
-
D.
Bella Greene
Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
-
E.
Rosalie Hale
Rosalie Hale is a beautiful, strong-willed vampire and member of the Cullen family in the Twilight Saga, known for her complex relationship with Bella and her tragic human past.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03589f74881908cfa4f250263b97d |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfdd5920819087f48db024e4a3ed |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:56 p.m.