Triple
T33527798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earnshaw family |
E858688
|
entity |
| Predicate | relatedWorkAdaptedInto |
P81409
|
FINISHED |
| Object | film adaptations of Wuthering Heights |
—
|
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 Wuthering Heights | Statement: [Earnshaw family, relatedWorkAdaptedInto, film adaptations of Wuthering Heights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedWorkAdaptedInto Context triple: [Earnshaw family, relatedWorkAdaptedInto, film adaptations of Wuthering Heights]
-
A.
adaptedIntoWork
chosen
Indicates that an original work has been transformed or re-created into another work, typically in a different medium or format.
-
B.
adaptedWorkOf
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
-
C.
adaptedWorkOfAuthor
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
-
D.
collaboratedOnAdaptationOf
Indicates that two or more entities worked together on creating or producing an adaptation of an existing work.
-
E.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:39 a.m.