Triple
T10808933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Cady |
E255042
|
entity |
| Predicate | studiesInPrison |
P95570
|
FINISHED |
| Object | law |
—
|
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: law | Statement: [Max Cady, studiesInPrison, law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesInPrison Context triple: [Max Cady, studiesInPrison, law]
-
A.
specialtyInPrison
Indicates that an entity’s area of professional focus or expertise specifically concerns prisons or the prison system.
-
B.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
C.
notablePrison
Indicates that an entity is a prison of particular significance or prominence in relation to another entity.
-
D.
hasPrison
Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
-
E.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
- F. None of above. chosen
Provenance (4 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b60c6481909b043565a65f996d |
completed | April 9, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:18 p.m.