Triple
T31252655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine McCormack as Greta Schröder |
E796870
|
entity |
| Predicate | associatedWithRealFilm |
P207384
|
FINISHED |
| Object | Nosferatu, eine Symphonie des Grauens |
E746993
|
NE 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: Nosferatu, eine Symphonie des Grauens | Statement: [Catherine McCormack as Greta Schröder, associatedWithRealFilm, Nosferatu, eine Symphonie des Grauens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRealFilm Context triple: [Catherine McCormack as Greta Schröder, associatedWithRealFilm, Nosferatu, eine Symphonie des Grauens]
-
A.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular film.
-
B.
associatedWithComposerOfFilm
Indicates a relationship where an entity is connected to the composer who created the musical score for a specific film.
-
C.
associatedWithAwardNominatedFilm
Indicates that an entity has a relationship to a film that has been nominated for an award.
-
D.
associatedWithReleaseDateOfFilm
Indicates a relationship where something is connected to or corresponds with the release date of a film.
-
E.
hasFictionalFilmWithinPlay
Indicates that within a theatrical play, there is a fictional film that exists or is depicted as part of the play’s narrative or structure.
- F. None of above. chosen
Provenance (5 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2a71ff5e38819082eea65bb6c6089d |
completed | June 11, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:12 p.m.