Triple
T34809889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lo straniero (1967 film) |
E1003468
|
entity |
| Predicate | faithfulnessToSource |
P107804
|
FINISHED |
| Object | faithful adaptation |
—
|
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: faithful adaptation | Statement: [Lo straniero (1967 film), faithfulnessToSource, faithful adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faithfulnessToSource Context triple: [Lo straniero (1967 film), faithfulnessToSource, faithful adaptation]
-
A.
moreFaithfulToSourceThan
Indicates that one item preserves the content, style, or intent of an original source more accurately or closely than another item.
-
B.
fidelityToSource
Indicates the degree to which something remains accurate, consistent, or loyal to its original source or reference.
-
C.
faithfulToSourceMaterial
chosen
Indicates that an adaptation or representation closely follows and preserves the key elements, tone, and intent of the original source material.
-
D.
containsSourceOf
Indicates that one entity includes, holds, or encompasses the origin or cause of another entity.
-
E.
adaptationFaithfulness
Indicates how closely an adaptation preserves the content, style, and intent of its original source.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ab248748190858420c09bbdba32 |
completed | May 3, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.