Triple
T37709994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitter Rice |
E939304
|
entity |
| Predicate | hasFilmPosterFeaturing |
P202330
|
FINISHED |
| Object | Silvana Mangano in tight blouse and shorts |
—
|
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: Silvana Mangano in tight blouse and shorts | Statement: [Bitter Rice, hasFilmPosterFeaturing, Silvana Mangano in tight blouse and shorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmPosterFeaturing Context triple: [Bitter Rice, hasFilmPosterFeaturing, Silvana Mangano in tight blouse and shorts]
-
A.
hasFilmPoster
Indicates that one entity serves as the film poster associated with another film entity.
-
B.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
C.
hasPosterArtBy
Indicates that the poster artwork for an item (such as a film, event, or product) was created by a specified artist or designer.
-
D.
hasFilmographyIn
Indicates that an individual has participated in or contributed to works within a specified filmography or body of film-related productions.
-
E.
isPortrayedIn
Indicates that an entity is depicted or represented within a particular work, medium, or portrayal.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a007241df8081909dbad651fda82aa7 |
completed | May 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_6a0071e77ed081908cd618da8977d878 |
completed | May 10, 2026, 11:54 a.m. |
| PDg | Predicate description generation | batch_6a007240adac819087ab65e9733c384f |
completed | May 10, 2026, 11:55 a.m. |
Created at: May 3, 2026, 4:18 p.m.