Triple
T3287485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bella Swan |
E69017
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Midnight Sun |
E345537
|
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: Midnight Sun | Statement: [Bella Swan, appearsIn, Midnight Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midnight Sun Context triple: [Bella Swan, appearsIn, Midnight Sun]
-
A.
Midnight Sun
Midnight Sun is a natural phenomenon occurring in polar regions where the sun remains visible at local midnight during the summer months.
-
B.
Midnight Sun
"Midnight Sun" is a jazz standard composed by Lionel Hampton that became one of his most celebrated and enduring pieces.
-
C.
Midnight Sun
chosen
Midnight Sun is a companion novel to Stephenie Meyer’s Twilight, retelling the original story from Edward Cullen’s perspective.
-
D.
The Midnight Sun
"The Midnight Sun" is a 1926 American silent drama film starring Lotus Thompson, known for its melodramatic storyline set against an exotic European backdrop.
-
E.
The Midnight Sun
"The Midnight Sun" is a classic, apocalyptic episode of The Twilight Zone in which Earth is seemingly drifting closer to the sun, causing unbearable heat and psychological unraveling.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb058e00881908fdf0a23208860d4 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a6c0aec81908654933a4fa38997 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:10 p.m.