Triple
T19387489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Amazing Race |
E484972
|
entity |
| Predicate | typicalGrandPrize |
P22091
|
FINISHED |
| Object | US$1,000,000 |
—
|
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: US$1,000,000 | Statement: [The Amazing Race, typicalGrandPrize, US$1,000,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGrandPrize Context triple: [The Amazing Race, typicalGrandPrize, US$1,000,000]
-
A.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
B.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
-
C.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
D.
typicalAwardAmount
chosen
Indicates the usual or most common amount of an award given in this relationship.
-
E.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b418f148190972b7b46038bc744 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.