Triple
T28836181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa Movie Academy Award for Best Actress in a Leading Role |
E728187
|
entity |
| Predicate | hasAwardDecisionBody |
P9960
|
FINISHED |
| Object |
Africa Movie Academy Awards jury
The Africa Movie Academy Awards jury is the panel of film industry professionals responsible for evaluating performances and selecting winners for the Africa Movie Academy Awards.
|
E1835897
|
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: Africa Movie Academy Awards jury | Statement: [Africa Movie Academy Award for Best Actress in a Leading Role, hasAwardDecisionBody, Africa Movie Academy Awards jury]
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: Africa Movie Academy Awards jury Triple: [Africa Movie Academy Award for Best Actress in a Leading Role, hasAwardDecisionBody, Africa Movie Academy Awards jury]
Generated description
The Africa Movie Academy Awards jury is the panel of film industry professionals responsible for evaluating performances and selecting winners for the Africa Movie Academy Awards.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardDecisionBody Context triple: [Africa Movie Academy Award for Best Actress in a Leading Role, hasAwardDecisionBody, Africa Movie Academy Awards jury]
-
A.
decisionBody
chosen
Indicates that one entity serves as the authoritative body or group responsible for making a particular decision regarding another entity or matter.
-
B.
hasFinalDecisionOn
Indicates that one entity holds the ultimate authority or responsibility to make and enforce a conclusive decision regarding another entity or matter.
-
C.
hasAwardingBodyType
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
D.
hasGradingBody
Indicates that one entity serves as the official organization or authority responsible for grading, evaluating, or assessing another entity.
-
E.
hasAwardingJurisdiction
Indicates that an award, honor, or recognition is conferred under the authority or legal jurisdiction of a specific governing body or region.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596d86b4819092d7d7131ca42cf8 |
completed | May 2, 2026, 8:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a24bbb07f448190a81ca4acb886c4ca |
completed | June 7, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a24c04fe0f48190829c6dd2c0026650 |
completed | June 7, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a24c4255b748190985f57aedda13c1c |
completed | June 7, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:39 a.m.