Triple
T4559411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Newsroom |
E120555
|
entity |
| Predicate | hasOpeningTitle |
P56245
|
FINISHED |
| Object | The Newsroom opening sequence |
—
|
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: The Newsroom opening sequence | Statement: [The Newsroom, hasOpeningTitle, The Newsroom opening sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningTitle Context triple: [The Newsroom, hasOpeningTitle, The Newsroom opening sequence]
-
A.
hasOpeningTitleDesignBy
Indicates that an entity’s opening title sequence was designed or created by a specified designer or design entity.
-
B.
hasOpeningFeature
Indicates that an entity possesses a specific characteristic, element, or attribute related to its opening or entry point.
-
C.
hasOpeningThemeStyle
Indicates that an entity’s opening theme follows or is characterized by a particular musical or stylistic genre or format.
-
D.
openedByTitle
Indicates that an item (such as a document, file, or resource) was opened or accessed by a user identified by their title or role rather than by a specific individual.
-
E.
hasOpeningCreditsUsage
chosen
Indicates that something is used or appears specifically in the opening credits of a work.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd582b871c8190be0b70c76d639000 |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.