Triple
T16166722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Special Achievement |
E392321
|
entity |
| Predicate | typicalFieldsRecognized |
P2532
|
FINISHED |
| Object | visual effects |
—
|
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: visual effects | Statement: [Academy Award for Special Achievement, typicalFieldsRecognized, visual effects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFieldsRecognized Context triple: [Academy Award for Special Achievement, typicalFieldsRecognized, visual effects]
-
A.
typicalFields
chosen
Indicates the standard or commonly occurring attributes or data fields that are usually associated with an entity or record.
-
B.
recognisesField
Indicates that one entity acknowledges, identifies, or accepts a particular field (such as an area of study, expertise, or data attribute) as valid or relevant.
-
C.
typicalRecognitionFormat
Indicates the usual or standard format in which something is recognized, identified, or acknowledged.
-
D.
areRecognizedBy
Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
-
E.
recognizedAs
Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb3ec4c81908d4e5c0f39a85900 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.