Triple
T4313406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinema Under the Stars |
E94127
|
entity |
| Predicate | exhibitionMode |
P30377
|
FINISHED |
| Object | outdoor cinema |
—
|
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: outdoor cinema | Statement: [Cinema Under the Stars, exhibitionMode, outdoor cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitionMode Context triple: [Cinema Under the Stars, exhibitionMode, outdoor cinema]
-
A.
exhibitStyle
Indicates that an entity displays, demonstrates, or embodies a particular style or manner of expression.
-
B.
exhibition
Indicates that an entity is organizing, hosting, or serving as a public display or presentation of another entity (such as artworks, objects, or information).
-
C.
displayMode
chosen
Indicates how content or information is visually presented or arranged to the user.
-
D.
exhibitStatus
Indicates the current state or condition of an exhibit within a display, collection, or presentation context.
-
E.
exhibitionMedium
Indicates the material or format through which something is exhibited or displayed.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f319c08190bb40a9fc5933728d |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.