Triple
T8660038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerusalem's Lot |
E205522
|
entity |
| Predicate | adaptationTitleDerivedFrom |
P12689
|
FINISHED |
| Object | Chapelwaite estate in the story |
—
|
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: Chapelwaite estate in the story | Statement: [Jerusalem's Lot, adaptationTitleDerivedFrom, Chapelwaite estate in the story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationTitleDerivedFrom Context triple: [Jerusalem's Lot, adaptationTitleDerivedFrom, Chapelwaite estate in the story]
-
A.
adaptationBy
Indicates a relationship where one entity has been modified, transformed, or reworked by another entity into a new form or version.
-
B.
titleDerivedFrom
chosen
Indicates that the title of one entity is obtained or adapted from another entity.
-
C.
adaptedAs
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
-
D.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
-
E.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48701c748190a5f7bd9e2da0e5e9 |
completed | March 31, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:30 p.m.