Triple
T9795294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Midnight Sun |
E237701
|
entity |
| Predicate | hasRodSerlingOpeningMonologue |
P90016
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [The Midnight Sun, hasRodSerlingOpeningMonologue, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRodSerlingOpeningMonologue Context triple: [The Midnight Sun, hasRodSerlingOpeningMonologue, true]
-
A.
hasPrologueSeries
Indicates that one work serves as a prologue or introductory installment to another work in a series.
-
B.
usedInSeasonOpeningCreditsOf
Indicates that something (such as an image, clip, or element) appears in and is utilized as part of the opening credits sequence of a particular season of a show.
-
C.
hasOpeningCreditsUsage
Indicates that something is used or appears specifically in the opening credits of a work.
-
D.
hasEpisodeAbout
Indicates that a particular episode (such as of a show, podcast, or series) focuses on, discusses, or is centered around a specified subject or topic.
-
E.
hasFictionalShowWithinShow
Indicates that one show contains or features another fictional show within its narrative.
- F. None of above. chosen
Provenance (4 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:28 p.m.