Triple
T26248696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristina Moreno |
E656520
|
entity |
| Predicate | narrationFrame |
P7324
|
FINISHED |
| Object | college application essay |
—
|
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: college application essay | Statement: [Cristina Moreno, narrationFrame, college application essay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrationFrame Context triple: [Cristina Moreno, narrationFrame, college application essay]
-
A.
narrativeFrame
chosen
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
B.
narrativeFrameWork
Indicates a relationship where one element provides the structural or conceptual framework within which another element’s narrative is organized, interpreted, or presented.
-
C.
narrationRequired
Indicates that an accompanying explanatory or descriptive narrative is required to properly present or understand the related content or event.
-
D.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
E.
hasNarration
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 26, 2026, 9:06 p.m.