Triple
T21601904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Berlin Ending |
E533062
|
entity |
| Predicate | reflectsBackgroundOfAuthor |
P72668
|
FINISHED |
| Object | CIA experience |
—
|
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: CIA experience | Statement: [The Berlin Ending, reflectsBackgroundOfAuthor, CIA experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsBackgroundOfAuthor Context triple: [The Berlin Ending, reflectsBackgroundOfAuthor, CIA experience]
-
A.
hasAuthorBackgroundIn
chosen
Indicates that an author possesses a particular background, such as education, experience, or expertise, in a specified field or domain.
-
B.
hasAuthorialBackground
Indicates that an entity has a creator or author with a specific background, context, or set of characteristics associated with them.
-
C.
reflectsInterestOfAuthorIn
Indicates that something expresses or reveals the author’s interest in a particular subject, entity, or topic.
-
D.
selfReferenceOfAuthor
Indicates that an author is making a reference to themselves within a work or context.
-
E.
reflectsAuthorTransition
Indicates that something represents or captures a change or shift in an author's role, style, period, or creative direction.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e247588190a57f27ba04f4f21a |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.