Triple
T5348091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black, Brown and Beige |
E124104
|
entity |
| Predicate | criticalReceptionAtPremiere |
P2378
|
FINISHED |
| Object | mixed |
—
|
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: mixed | Statement: [Black, Brown and Beige, criticalReceptionAtPremiere, mixed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalReceptionAtPremiere Context triple: [Black, Brown and Beige, criticalReceptionAtPremiere, mixed]
-
A.
criticalReception
chosen
Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
-
B.
isNotedByCriticsFor
Indicates that something has been recognized and highlighted by critics specifically for a particular quality, feature, or aspect.
-
C.
notableReception
Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
-
D.
hasNotableCritic
Indicates that one entity serves as a significant or widely recognized critic of another entity.
-
E.
marketReception
Indicates how a product, service, or work is received, evaluated, and responded to by the market or audience after its introduction.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ef75148190815461c2a49302e9 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.