Triple
T671426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Pan Award |
E12978
|
entity |
| Predicate | salesMetric |
P12595
|
FINISHED |
| Object | number of copies sold |
—
|
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: number of copies sold | Statement: [Golden Pan Award, salesMetric, number of copies sold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salesMetric Context triple: [Golden Pan Award, salesMetric, number of copies sold]
-
A.
salesMilestone
chosen
Indicates that a specific sales target or threshold has been reached or surpassed.
-
B.
digitalSalesMilestone
Indicates that a specific target or significant achievement has been reached in the context of digital product or service sales.
-
C.
revenue
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
D.
marketingModel
Indicates a relationship where an entity uses or is associated with a specific marketing model, framework, or strategy to guide promotional or market-related decisions.
-
E.
market
Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.