Triple
T31259148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Mabuse |
E797068
|
entity |
| Predicate | portrayedInFilmByDirector |
P112926
|
FINISHED |
| Object | Fritz Lang |
—
|
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: Fritz Lang | Statement: [Dr. Mabuse, portrayedInFilmByDirector, Fritz Lang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedInFilmByDirector Context triple: [Dr. Mabuse, portrayedInFilmByDirector, Fritz Lang]
-
A.
portrayedInFilmDirectedBy
chosen
Indicates that one entity is portrayed as a character in a film that is directed by another specified entity.
-
B.
appearedInFilmDirectedBy
Indicates that an entity appeared in a film whose director is the specified other entity.
-
C.
filmDirectorOfWorkAppearsIn
Indicates that a person is the director of a film in which a particular work (e.g., book, play, or other source material) appears or is featured.
-
D.
directorsOfFilm
Indicates the person or people who directed a given film.
-
E.
filmDirectorOfAppearance
Indicates that a person served as the director for a specific appearance or segment within a film or audiovisual 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 29, 2026, 9:12 p.m.