Triple
T8075975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flowers series |
E188490
|
entity |
| Predicate | hasMarketReception |
P5170
|
FINISHED |
| Object | high commercial value |
—
|
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: high commercial value | Statement: [Flowers series, hasMarketReception, high commercial value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketReception Context triple: [Flowers series, hasMarketReception, high commercial value]
-
A.
marketReception
chosen
Indicates how a product, service, or work is received, evaluated, and responded to by the market or audience after its introduction.
-
B.
notableReception
Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
-
C.
hasCulturalReception
Indicates that an entity has been received, interpreted, or responded to within a particular cultural context or by a specific audience.
-
D.
hasReviewReception
Indicates that an entity has received a critical or evaluative review describing how it was received or perceived.
-
E.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404dc7ac8190956b5c2f5aeac6b2 |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:28 p.m.