Triple
T16330280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey Bogart as Dixon Steele |
E396532
|
entity |
| Predicate | screenPersonaRelation |
P38921
|
FINISHED |
| Object | alignedWithBogartToughCynicalImage |
—
|
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: alignedWithBogartToughCynicalImage | Statement: [Humphrey Bogart as Dixon Steele, screenPersonaRelation, alignedWithBogartToughCynicalImage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenPersonaRelation Context triple: [Humphrey Bogart as Dixon Steele, screenPersonaRelation, alignedWithBogartToughCynicalImage]
-
A.
sceneRelationship
Indicates a contextual or spatial relationship that links entities based on how they co-occur or interact within the same scene.
-
B.
showsRelationshipWith
Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
-
C.
playerRelations
Indicates the nature or status of the relationship between players, such as alliances, rivalries, or other interpersonal dynamics.
-
D.
relationshipToCharacter
chosen
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
E.
trackRelationship
Indicates a connection in which one entity monitors, follows, or keeps a record of another entity’s state, behavior, or changes over time.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4debef08190a64f13214bfa098f |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.