Triple
T27937538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Cratchit |
E700652
|
entity |
| Predicate | hasAdaptationAppearanceIn |
P12694
|
FINISHED |
| Object | film adaptations of A Christmas Carol |
—
|
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: film adaptations of A Christmas Carol | Statement: [Bob Cratchit, hasAdaptationAppearanceIn, film adaptations of A Christmas Carol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationAppearanceIn Context triple: [Bob Cratchit, hasAdaptationAppearanceIn, film adaptations of A Christmas Carol]
-
A.
hasAdaptationsIn
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
B.
hasAdaptationRoleIn
Indicates that an entity serves a specific adaptation-related role or function within another entity, process, or context.
-
C.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
-
D.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
E.
adaptationAppearance
chosen
Indicates that one entity appears or is depicted in an adaptation of another entity (such as a work being represented in a derived or reinterpreted version).
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 7:14 p.m.