Triple
T32530411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E831435
|
entity |
| Predicate | hasOnScreenDebutActor |
P181086
|
FINISHED |
| Object | Kim Basinger in 9½ Weeks |
—
|
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: Kim Basinger in 9½ Weeks | Statement: [Elizabeth, hasOnScreenDebutActor, Kim Basinger in 9½ Weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnScreenDebutActor Context triple: [Elizabeth, hasOnScreenDebutActor, Kim Basinger in 9½ Weeks]
-
A.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
B.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
-
C.
theaterDebutWith
Indicates that an entity made its first appearance or performance in a theater production together with another specified entity.
-
D.
debutInCinema
Indicates that a film or work is first publicly released or shown in movie theaters.
-
E.
debutedOnTelevisionIn
Indicates that an entity made its first appearance or was first broadcast on television in a specified time or context.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: May 1, 2026, 1:01 a.m.