Triple
T20736471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Speer |
E509721
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Midnight Sun |
—
|
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: Midnight Sun | Statement: [Scott Speer, directed, Midnight Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midnight Sun Context triple: [Scott Speer, directed, Midnight Sun]
-
A.
Midnight Sun
"Midnight Sun" is a jazz standard composed by Lionel Hampton that became one of his most celebrated and enduring pieces.
-
B.
Midnight Sun
Midnight Sun is a natural phenomenon occurring in polar regions where the sun remains visible at local midnight during the summer months.
-
C.
Midnight Sun
Midnight Sun is a companion novel to Stephenie Meyer’s Twilight, retelling the original story from Edward Cullen’s perspective.
-
D.
Midnight Sun
Midnight Sun is a horror novel by British author Ramsey Campbell that blends psychological terror with supernatural elements in a bleak, atmospheric narrative.
-
E.
Midnight Sun
chosen
Midnight Sun is a romantic drama film about a teenage girl with a life-threatening sensitivity to sunlight, adapted from a Japanese movie of the same premise.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20a02d48190bba22d1bdbeb370d |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:31 p.m.