Triple
T5333658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hypergonar lens |
E123370
|
entity |
| Predicate | mediaTypeUsedWith |
P33573
|
FINISHED |
| Object | 35mm 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: 35mm film | Statement: [Hypergonar lens, mediaTypeUsedWith, 35mm film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeUsedWith Context triple: [Hypergonar lens, mediaTypeUsedWith, 35mm film]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
mediaReferenceType
Indicates the specific kind of relationship or role that a referenced media item has in relation to another entity or context.
-
C.
mediaUse
chosen
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
D.
mediaName
Indicates the name or title assigned to a media item (such as a work, file, or publication) in the relationship.
-
E.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ac8e10819088b6a9e02d927044 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.