Triple
T36602626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumpole’s chambers |
E902958
|
entity |
| Predicate | typicalCasesHandledInFiction |
P60249
|
FINISHED |
| Object | criminal cases |
—
|
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: criminal cases | Statement: [Rumpole’s chambers, typicalCasesHandledInFiction, criminal cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCasesHandledInFiction Context triple: [Rumpole’s chambers, typicalCasesHandledInFiction, criminal cases]
-
A.
conductsInFiction
Indicates that an entity carries out or performs an action or role within a fictional context or narrative.
-
B.
associatedWithCaseInFiction
chosen
Indicates that an entity is connected to, involved in, or relevant to a particular case or investigation within a fictional context.
-
C.
worksUnderInFiction
Indicates that, within a fictional context or narrative, one character or entity is hierarchically subordinate to and takes direction from another.
-
D.
hasEventInFiction
Indicates that a fictional work includes or depicts a particular event within its narrative.
-
E.
flowsThroughInFiction
Indicates that, within a fictional context or narrative, one entity (typically a river or similar medium) passes through, traverses, or courses across another entity (such as a location or region).
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.