Triple
T37800699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eben Adams |
E942363
|
entity |
| Predicate | filmAdaptationOfSource |
P157978
|
FINISHED |
| Object | Portrait of Jennie (novel) |
—
|
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: Portrait of Jennie (novel) | Statement: [Eben Adams, filmAdaptationOfSource, Portrait of Jennie (novel)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmAdaptationOfSource Context triple: [Eben Adams, filmAdaptationOfSource, Portrait of Jennie (novel)]
-
A.
filmAdaptationOfWork
chosen
Indicates that a film is an adaptation based on the narrative content of a specific original work.
-
B.
filmAdaptationOfWorkBy
Indicates that a film is an adaptation of a work created by the specified person or entity.
-
C.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
D.
filmAdaptationFormat
Indicates the specific medium or format (e.g., feature film, TV movie, short film) in which a work has been adapted into a film.
-
E.
filmAdaptationOfLife
Indicates that a film is an adaptation based on the life or real-life experiences of a person or group.
- 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_69f76ee6f1f4819091e2cf9c9e6aee19 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.