Triple
T9940091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Basinger |
E194055
|
entity |
| Predicate | modeOfCreativeWork |
P42896
|
FINISHED |
| Object | film |
—
|
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: film | Statement: [Kim Basinger, modeOfCreativeWork, film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfCreativeWork Context triple: [Kim Basinger, modeOfCreativeWork, film]
-
A.
creativeWorkType
chosen
Indicates the specific category or form of a creative work (such as book, movie, painting, or song) that characterizes the relationship.
-
B.
literaryGenreOfWork
Indicates that a work belongs to or is classified under a particular literary genre.
-
C.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
D.
formatOfWorks
Indicates the specific medium, layout, or structural form in which works are created, presented, or published.
-
E.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 |
completed | April 2, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:44 p.m.