Triple
T8449609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The War Zone |
E199767
|
entity |
| Predicate | hasAdaptationRelationship |
P1690
|
FINISHED |
| Object | adaptation of Alexander Stuart’s novel |
—
|
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: adaptation of Alexander Stuart’s novel | Statement: [The War Zone, hasAdaptationRelationship, adaptation of Alexander Stuart’s novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationRelationship Context triple: [The War Zone, hasAdaptationRelationship, adaptation of Alexander Stuart’s novel]
-
A.
hasRelativeInAdaptation
Indicates that an entity has a relative (family-related counterpart) appearing in an adaptation of that entity or its source material.
-
B.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
-
C.
hasMediaAdaptation
chosen
Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
-
D.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
E.
precededByAdaptation
Indicates that one entity occurs only after a prior adaptation process has taken place.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:09 p.m.