Triple
T3884192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertigo |
E92898
|
entity |
| Predicate | cinemaRanking |
P26960
|
FINISHED |
| Object | often cited as one of the greatest films ever made |
—
|
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: often cited as one of the greatest films ever made | Statement: [Vertigo, cinemaRanking, often cited as one of the greatest films ever made]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cinemaRanking Context triple: [Vertigo, cinemaRanking, often cited as one of the greatest films ever made]
-
A.
boxOfficeStatus
Indicates the commercial performance or financial success status of a film or media release at the box office.
-
B.
servedInTheatres
Indicates that a film or performance was publicly exhibited in movie theaters or similar cinema venues.
-
C.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
D.
AFIList
chosen
Indicates that an entity is included in a specific AFI (American Film Institute) list or ranking.
-
E.
hasRottenTomatoesRating
Indicates that an entity has an associated rating value assigned by Rotten Tomatoes.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec9029908190a7b36a3827734db1 |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.