Triple
T5716160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natsamrat |
E126026
|
entity |
| Predicate | audienceReception |
P15291
|
FINISHED |
| Object | highly acclaimed by critics |
—
|
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: highly acclaimed by critics | Statement: [Natsamrat, audienceReception, highly acclaimed by critics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceReception Context triple: [Natsamrat, audienceReception, highly acclaimed by critics]
-
A.
hasAudienceReception
chosen
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
-
B.
marketReception
Indicates how a product, service, or work is received, evaluated, and responded to by the market or audience after its introduction.
-
C.
portrayalReception
Indicates how a particular portrayal of someone or something is received, evaluated, or responded to by an audience or observers.
-
D.
notableReception
Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
-
E.
audienceScale
Indicates the relative size or reach of the audience associated with an entity, event, or communication.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.