Triple
T32192869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Quality of Mercy |
E822308
|
entity |
| Predicate | roleReversalDevice |
P129261
|
FINISHED |
| Object | body swap across enemy lines |
—
|
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: body swap across enemy lines | Statement: [A Quality of Mercy, roleReversalDevice, body swap across enemy lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleReversalDevice Context triple: [A Quality of Mercy, roleReversalDevice, body swap across enemy lines]
-
A.
roleOfDevice
Indicates that a device participates in a situation or system with a specified functional role or purpose.
-
B.
hasAlterEgoDevice
Indicates that an entity possesses or is associated with a device specifically used to enable, support, or manifest its alter ego.
-
C.
usedAsDeviceFor
Indicates that one entity functions as a tool, instrument, or device for performing an action or achieving a particular purpose for another entity.
-
D.
transformationDevice
chosen
Indicates that one entity functions as a device or mechanism used to transform, convert, or change another entity or its state.
-
E.
portraysDevice
Indicates that one entity visually represents or depicts a device in some medium or context.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bace6c508190a7b25ad1024151b6 |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.