Triple
T10813187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scrooge (1951 film screenplay) |
E255154
|
entity |
| Predicate | fidelityToSource |
P95883
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Scrooge (1951 film screenplay), fidelityToSource, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fidelityToSource Context triple: [Scrooge (1951 film screenplay), fidelityToSource, high]
-
A.
moreFaithfulToSourceThan
Indicates that one item preserves the content, style, or intent of an original source more accurately or closely than another item.
-
B.
differsFromSourceMaterial
Indicates that something has been altered or deviates in some way from its original or reference source material.
-
C.
containsSourceOf
Indicates that one entity includes, holds, or encompasses the origin or cause of another entity.
-
D.
originalDestination
Indicates the initial or intended destination associated with an entity before any changes, rerouting, or redirection occur.
-
E.
isIsomorphicTo
Indicates that two structures have a one-to-one, structure-preserving correspondence between their elements, making them equivalent in form even if not identical in content.
- F. None of above. chosen
Provenance (4 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eba9b48190b4dbe7fe5d8be0a4 |
completed | April 9, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:18 p.m.