Triple
T28034684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Expectations (2011 television serial) |
E708370
|
entity |
| Predicate | isTelevisionVersionOf |
P93883
|
FINISHED |
| Object | Great Expectations (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: Great Expectations (novel) | Statement: [Great Expectations (2011 television serial), isTelevisionVersionOf, Great Expectations (novel)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTelevisionVersionOf Context triple: [Great Expectations (2011 television serial), isTelevisionVersionOf, Great Expectations (novel)]
-
A.
hasTelevisionVersion
Indicates that one entity has a corresponding version or adaptation that is specifically produced for or presented on television.
-
B.
runtimeTelevisionVersion
Indicates that a television version of a work has a particular runtime duration.
-
C.
isTelevisionAdaptationOf
chosen
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
D.
isTelevisionShowType
Indicates that one entity is a specific type or category of television show in relation to another entity.
-
E.
televisionVersionName
Indicates the specific name or title assigned to a particular version or edition of a television-related work.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63c75d5748190a4b425f32054bff5 |
completed | May 2, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:20 p.m.