Triple
T25797584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Dreamer |
E649728
|
entity |
| Predicate | fictionalWorkWithinWork |
P48502
|
FINISHED |
| Object | Rebecca Ryan |
—
|
NE NERFINISHED |
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: Rebecca Ryan | Statement: [American Dreamer, fictionalWorkWithinWork, Rebecca Ryan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalWorkWithinWork Context triple: [American Dreamer, fictionalWorkWithinWork, Rebecca Ryan]
-
A.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
-
B.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
C.
fictionalWorkTitle
Indicates the title assigned to a fictional work, such as a novel, film, or game.
-
D.
literaryWorkInStory
chosen
Indicates that one literary work is referenced, featured, or embedded within the narrative of another story.
-
E.
showWithinFiction
Indicates that one entity is depicted, referenced, or occurs as part of the fictional world or narrative context of another entity.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 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 22, 2026, 6:32 a.m.