Triple
T5353492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Badge of Courage |
E102631
|
entity |
| Predicate | ageOfAuthorAtPublication |
P47067
|
FINISHED |
| Object | early twenties |
—
|
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: early twenties | Statement: [The Red Badge of Courage, ageOfAuthorAtPublication, early twenties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOfAuthorAtPublication Context triple: [The Red Badge of Courage, ageOfAuthorAtPublication, early twenties]
-
A.
dateOfAuthorDeathBeforePublication
Indicates that the author of a work died before that work was published.
-
B.
eraOfAuthor
Indicates the historical time period or era during which an author lived or produced their work.
-
C.
authorPublished
Indicates that an author has published a particular work (such as a book, article, or paper).
-
D.
authorBirthYear
Indicates the year in which the author of a work or text was born.
-
E.
writtenByAtAge
chosen
Indicates that something was written by a particular entity when that entity was a specified age.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86149774819084049a8785e3f2e0 |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.