Triple
T1952230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Movie & TV Award for Best Performance in a Movie |
E42182
|
entity |
| Predicate | awardCategoryFocus |
P1619
|
FINISHED |
| Object | individual performance |
—
|
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: individual performance | Statement: [MTV Movie & TV Award for Best Performance in a Movie, awardCategoryFocus, individual performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardCategoryFocus Context triple: [MTV Movie & TV Award for Best Performance in a Movie, awardCategoryFocus, individual performance]
-
A.
awardFocus
Indicates that an award or honor is specifically directed toward, centered on, or primarily concerned with a particular entity.
-
B.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
C.
awardScope
Indicates the extent, domain, or coverage that an award applies to within a given context.
-
D.
awardCycle
Indicates the recurring period or schedule on which an award is granted or evaluated.
-
E.
awardName
Indicates the specific name or title of an award associated with an 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb34eb5748190a3ac395252951eba |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.