Triple
T37083853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Mystères du Château de Dé (patronage) |
E918228
|
entity |
| Predicate | beneficiaryWork |
P37410
|
FINISHED |
| Object |
Les Mystères du Château de Dé
Les Mystères du Château de Dé is a 1929 avant-garde silent film directed by Man Ray that blends surreal imagery and experimental cinematography in a mysterious narrative set around a modernist villa.
|
E2212955
|
NE FINISHED |
How this triple was built (3 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: Les Mystères du Château de Dé | Statement: [Les Mystères du Château de Dé (patronage), beneficiaryWork, Les Mystères du Château de Dé]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Les Mystères du Château de Dé Triple: [Les Mystères du Château de Dé (patronage), beneficiaryWork, Les Mystères du Château de Dé]
Generated description
Les Mystères du Château de Dé is a 1929 avant-garde silent film directed by Man Ray that blends surreal imagery and experimental cinematography in a mysterious narrative set around a modernist villa.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beneficiaryWork Context triple: [Les Mystères du Château de Dé (patronage), beneficiaryWork, Les Mystères du Château de Dé]
-
A.
beneficiaryBody
Indicates that one entity serves as the benefiting body or organization that receives advantage, support, or services from another entity or action.
-
B.
beneficiaryRole
chosen
Indicates that one entity serves as the beneficiary or recipient of an action, service, or resource provided by another entity.
-
C.
beneficiaryProvision
Indicates that one entity provides something (such as goods, services, or benefits) for the advantage or benefit of another entity.
-
D.
beneficiaryType
Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
-
E.
beneficiaryCompany
Indicates that a company is the recipient or beneficiary of an action, service, or arrangement described by the predicate.
- F. None of above.
Provenance (6 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_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3efdc6b29481909666206a2ad378c1 |
completed | June 26, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_6a3efe80f558819094410220deb6d2c8 |
completed | June 26, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3f2d0558848190842b7c0a8edbc69e |
completed | June 27, 2026, 1:53 a.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.