Triple
T19065979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forks High School |
E466659
|
entity |
| Predicate | hasFictionalStudent |
P48
|
FINISHED |
| Object | Jessica Stanley |
—
|
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: Jessica Stanley | Statement: [Forks High School, hasFictionalStudent, Jessica Stanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Stanley Context triple: [Forks High School, hasFictionalStudent, Jessica Stanley]
-
A.
Jessica Stanley
chosen
Jessica Stanley is a chatty and sociable classmate of Bella Swan in the Twilight series, known for her gossiping nature and involvement in Forks High School’s social scene.
-
B.
Jan Stevens
Jan Stevens is a composer best known for creating music for the television series "Scrubs."
-
C.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
D.
Sara Stanley
Sara Stanley is the imaginative, spirited young heroine of the Canadian television series "Road to Avonlea," who leaves her wealthy city life to live with her relatives in the rural community of Avonlea on Prince Edward Island.
-
E.
Jessica Stockholder
Jessica Stockholder is an American contemporary artist known for her large-scale, site-specific installations that merge painting, sculpture, and everyday objects into immersive environments.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e198621481908618f65dd01746fc |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.