Triple
T35709395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un bon bock |
E1031810
|
entity |
| Predicate | projectionSystemUsed |
P30533
|
FINISHED |
| Object | Théâtre Optique |
—
|
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: Théâtre Optique | Statement: [Un bon bock, projectionSystemUsed, Théâtre Optique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectionSystemUsed Context triple: [Un bon bock, projectionSystemUsed, Théâtre Optique]
-
A.
hasProjectionSystem
Indicates that one entity uses or is defined by a particular coordinate or map projection system associated with another entity.
-
B.
projectionFamily
Indicates a relationship where one entity is a projection, variant, or derived representational form of another within the same conceptual or structural family.
-
C.
has3DProjectionSystem
Indicates that an entity is equipped with or includes a 3D projection system.
-
D.
projectionFormat
chosen
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
-
E.
projectionStyle
Indicates the method or technique by which something is projected or visually displayed (e.g., in graphics, mapping, or imaging).
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:05 p.m.