Triple
T9317188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvonne Orlac |
E224152
|
entity |
| Predicate | setInMedium |
P54385
|
FINISHED |
| Object | black-and-white 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: black-and-white film | Statement: [Yvonne Orlac, setInMedium, black-and-white film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInMedium Context triple: [Yvonne Orlac, setInMedium, black-and-white film]
-
A.
occursInMedium
chosen
Indicates that an event, process, or interaction takes place within or is hosted by a particular medium or environment.
-
B.
introducedInMedium
Indicates that an entity first appears or is initially presented within a specified medium (such as a book, film, game, or other format).
-
C.
setInStudio
Indicates that an entity is located, placed, or takes place within a studio environment.
-
D.
stratotypeMedium
Indicates the type of material or medium (e.g., rock, sediment) that serves as the reference standard for a stratigraphic unit or stratotype.
-
E.
representsMedium
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd35899b9081908bb0c310cc25722f |
completed | April 1, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.