Triple
T14182740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Award |
E351495
|
entity |
| Predicate | secondaryAudienceOfRecognizedWorks |
P9280
|
FINISHED |
| Object | readers aged 12–18 |
—
|
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: readers aged 12–18 | Statement: [Alex Award, secondaryAudienceOfRecognizedWorks, readers aged 12–18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryAudienceOfRecognizedWorks Context triple: [Alex Award, secondaryAudienceOfRecognizedWorks, readers aged 12–18]
-
A.
secondaryAudience
chosen
Indicates that an entity is a secondary or additional intended audience or target group for another entity (such as a work, message, or product), beyond the primary audience.
-
B.
recognizesWorkOf
Indicates that one entity acknowledges, identifies, or gives credit to the work or contributions produced by another entity.
-
C.
targetAudienceOfOriginWork
Indicates the intended audience or demographic group for which the original work was created.
-
D.
isLesserKnownWorkOf
Indicates that one work is a less famous or less widely recognized creation of a particular creator or artist.
-
E.
rightsRecognizedIn
Indicates that certain rights are formally acknowledged or upheld within a specified context, such as a legal system, jurisdiction, or document.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cc0a848190b660095972b1223b |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:02 a.m.