Triple
T29212368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysian cinema |
E740578
|
entity |
| Predicate | majorEthnicRepresentation |
P182511
|
FINISHED |
| Object | Malay |
—
|
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: Malay | Statement: [Malaysian cinema, majorEthnicRepresentation, Malay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorEthnicRepresentation Context triple: [Malaysian cinema, majorEthnicRepresentation, Malay]
-
A.
numberOfEthnicGroupsRepresented
Indicates the count of distinct ethnic groups that are present or represented in a given context or entity.
-
B.
minorityRepresentation
Indicates the extent to which members of minority groups are present or included within a given group, institution, or context.
-
C.
raceRepresentation
chosen
Indicates how different races or ethnic groups are portrayed, included, or reflected within a given context, medium, or setting.
-
D.
ethnicRepresentationRequirement
Indicates that there is a rule or condition specifying the required presence or proportion of certain ethnic groups within a given context or entity.
-
E.
shareMinorityPopulations
Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 28, 2026, 12:12 p.m.