Triple
T37083857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Mystères du Château de Dé (patronage) |
E918228
|
entity |
| Predicate | supportedMedium |
P4793
|
FINISHED |
| Object | avant-garde 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: avant-garde film | Statement: [Les Mystères du Château de Dé (patronage), supportedMedium, avant-garde film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedMedium Context triple: [Les Mystères du Château de Dé (patronage), supportedMedium, avant-garde film]
-
A.
mediumSupport
Indicates that one entity provides a moderate or intermediate level of support or assistance to another entity.
-
B.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
C.
applicableMedium
Indicates that a particular medium or material is suitable for use with, or can be effectively applied by, the referenced entity.
-
D.
targetMedium
Indicates the medium or channel through which an action, message, or effect is directed or intended to be delivered.
-
E.
usedMedium
chosen
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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.