Triple
T5186923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Water Dancer |
E117053
|
entity |
| Predicate | receivedRecognition |
P11
|
FINISHED |
| Object | New York Times bestseller |
—
|
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: New York Times bestseller | Statement: [The Water Dancer, receivedRecognition, New York Times bestseller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedRecognition Context triple: [The Water Dancer, receivedRecognition, New York Times bestseller]
-
A.
grantsRecognitionTo
Indicates that one entity formally acknowledges, honors, or validates another entity’s achievements, status, or contributions.
-
B.
granteeRecognition
Indicates that an entity acknowledges, credits, or formally recognizes a grantee for their role, contribution, or status in relation to a grant.
-
C.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
receivedSupportFrom
Indicates that one entity obtained help, resources, or backing from another entity.
-
E.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c3e9e08190848be4208b72f310 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.