Triple
T3764779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Booksellers Book of the Year (ABBY) Award |
E82643
|
entity |
| Predicate | targetWork |
P50836
|
FINISHED |
| Object | books published in the United States |
—
|
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: books published in the United States | Statement: [American Booksellers Book of the Year (ABBY) Award, targetWork, books published in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetWork Context triple: [American Booksellers Book of the Year (ABBY) Award, targetWork, books published in the United States]
-
A.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
B.
targetOfficeSought
Indicates the specific public or organizational office or position that an individual is seeking or running for.
-
C.
coordinatesWorkOf
Indicates overseeing and organizing the tasks, efforts, or activities of others to ensure they work together effectively toward a common goal.
-
D.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
E.
workOn
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
- F. None of above. chosen
Provenance (4 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfd4be481908242c460a3f00c56 |
completed | March 8, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc0fe3e3c8190bd886c7745c172a0 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 8, 2026, 3:35 p.m.