Triple
T12162524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Live Action Short Film |
E289742
|
entity |
| Predicate | productionScope |
P103282
|
FINISHED |
| Object | international |
—
|
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: international | Statement: [Academy Award for Best Live Action Short Film, productionScope, international]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionScope Context triple: [Academy Award for Best Live Action Short Film, productionScope, international]
-
A.
scopeOfProducts
Indicates the range or extent of products that fall under a particular category, responsibility, or context.
-
B.
productionScale
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
C.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
D.
productionBase
Indicates a relationship where one entity serves as the primary site, facility, or foundation used for producing or manufacturing something for another entity.
-
E.
productionCategory
Indicates the classification or type of production process, output, or activity that an entity is associated with.
- F. None of above. chosen
Provenance (4 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d915d58ab881908b5b7901990308a4 |
completed | April 10, 2026, 3:23 p.m. |
Created at: April 8, 2026, 9:50 p.m.