Triple
T30761148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | recordings of “Je rate mor duarguli” |
E783237
|
entity |
| Predicate | associatedPerformerEthnicity |
P136184
|
FINISHED |
| Object | Bengali |
E5055
|
NE 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: Bengali | Statement: [recordings of “Je rate mor duarguli”, associatedPerformerEthnicity, Bengali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPerformerEthnicity Context triple: [recordings of “Je rate mor duarguli”, associatedPerformerEthnicity, Bengali]
-
A.
artistEthnicity
chosen
Indicates that an artist has a specific ethnic background or affiliation.
-
B.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
portrayedByEthnicity
Indicates that an entity is portrayed or represented by someone of a specified ethnic background.
-
D.
associatedPerformerPersona
Indicates a relationship where a performer is linked to a specific persona or role identity they adopt in their performances.
-
E.
leadActorEthnicity
Indicates the ethnic background or identity of the primary (lead) actor in a work.
- F. None of above.
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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28b092f4708190bc758b6cb8bebbc5 |
completed | June 10, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:39 p.m.