Triple
T5189431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Bellamy |
E117112
|
entity |
| Predicate | hasPartInTheEnsembleOf |
P49020
|
FINISHED |
| Object | Hollywood screwball comedies of the 1930s and 1940s |
—
|
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: Hollywood screwball comedies of the 1930s and 1940s | Statement: [Ralph Bellamy, hasPartInTheEnsembleOf, Hollywood screwball comedies of the 1930s and 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInTheEnsembleOf Context triple: [Ralph Bellamy, hasPartInTheEnsembleOf, Hollywood screwball comedies of the 1930s and 1940s]
-
A.
isPartOfEnsemble
chosen
Indicates that an entity belongs to, or is a member of, a larger group or ensemble.
-
B.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
C.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
partOfCollection
Indicates that an entity belongs to, or is included within, a larger collection or set.
-
E.
partOfCastEnsembleWith
Indicates that two or more performers are members of the same cast ensemble in a shared production.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c732b48190af62dfffcbc5e3a6 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.