Triple
T36161488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Furies |
E1045889
|
entity |
| Predicate | BarbaraStanwyckRole |
P93254
|
FINISHED |
| Object | Vance Jeffords |
—
|
NE NERFINISHED |
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: Vance Jeffords | Statement: [The Furies, BarbaraStanwyckRole, Vance Jeffords]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BarbaraStanwyckRole Context triple: [The Furies, BarbaraStanwyckRole, Vance Jeffords]
-
A.
barbaraStanwyckRole
chosen
Indicates that the subject is a role or character portrayed by Barbara Stanwyck.
-
B.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
-
C.
MarilynMonroeRoleType
Indicates the type or category of role associated with Marilyn Monroe in a given context.
-
D.
characterPortrayedByGloriaSwanson
Indicates that a character is portrayed or played by Gloria Swanson.
-
E.
MarilynMonroeRole
Indicates that the subject entity has (or had) a role or character portrayed by Marilyn Monroe.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.