Triple
T15556348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Meehan |
E370878
|
entity |
| Predicate | genreOfCrime |
P7957
|
FINISHED |
| Object | relationship fraud |
—
|
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: relationship fraud | Statement: [John Meehan, genreOfCrime, relationship fraud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfCrime Context triple: [John Meehan, genreOfCrime, relationship fraud]
-
A.
criminalType
Indicates the specific category or classification of crime associated with a criminal act or offender.
-
B.
crimeType
chosen
Indicates the specific category or nature of the crime associated with an event or entity.
-
C.
genreOfJudgment
Indicates the specific legal category or type under which a particular judgment is classified.
-
D.
detectiveType
Indicates that one entity is classified as a particular type or category of detective in relation to another entity.
-
E.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:09 a.m.