Triple
T1714986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shawshank Redemption |
E37269
|
entity |
| Predicate | imdbTop250Status |
P32266
|
FINISHED |
| Object | frequently ranked number one |
—
|
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: frequently ranked number one | Statement: [The Shawshank Redemption, imdbTop250Status, frequently ranked number one]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imdbTop250Status Context triple: [The Shawshank Redemption, imdbTop250Status, frequently ranked number one]
-
A.
boxOfficeStatus
Indicates the commercial performance or financial success status of a film or media release at the box office.
-
B.
hasIMDbId
Indicates that an entity is associated with a specific identifier used by the Internet Movie Database (IMDb) to uniquely reference it.
-
C.
AFIList
Indicates that an entity is included in a specific AFI (American Film Institute) list or ranking.
-
D.
hasFilmVersionStatus
Indicates whether and how a work has been adapted into a film, specifying the status of that film version.
-
E.
servedInTheatres
Indicates that a film or performance was publicly exhibited in movie theaters or similar cinema venues.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab752034348190a1cc20955ed24f6f |
completed | March 7, 2026, 12:45 a.m. |
Created at: March 4, 2026, 7:30 p.m.