Triple
T9795262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Midnight Sun |
E237701
|
entity |
| Predicate | seriesCreatorRole |
P13180
|
FINISHED |
| Object | creator of The Twilight Zone |
—
|
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: creator of The Twilight Zone | Statement: [The Midnight Sun, seriesCreatorRole, creator of The Twilight Zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesCreatorRole Context triple: [The Midnight Sun, seriesCreatorRole, creator of The Twilight Zone]
-
A.
seriesRole
Indicates the specific role or function an entity has within a series or sequence of related items.
-
B.
creatorOfCharacter
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
C.
creatorType
chosen
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
D.
creatorOccupation
Indicates the professional role or job that the creator of an entity holds or held.
-
E.
creatorInComics
Indicates that one entity is the creator (such as writer or artist) responsible for the content or characters appearing in a particular comic work or series.
- F. None of above.
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_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. |
Created at: March 30, 2026, 8:28 p.m.