Triple
T10938093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finn Shelby |
E258388
|
entity |
| Predicate | drawnInto |
P71296
|
FINISHED |
| Object | organized crime |
—
|
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: organized crime | Statement: [Finn Shelby, drawnInto, organized crime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawnInto Context triple: [Finn Shelby, drawnInto, organized crime]
-
A.
draws
Indicates that one entity creates a visual representation or image of another entity.
-
B.
reluctantlyDrawnInto
chosen
Indicates being unwillingly but irresistibly involved in a situation, activity, or relationship despite initial resistance or hesitation.
-
C.
carvedInto
Indicates that one entity has been shaped, cut, or sculpted so that it takes the form or likeness of another entity.
-
D.
locationOfDraw
Indicates that a draw or tie in a competition or game occurred at a particular location.
-
E.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b12a9881909305db49aa554a1b |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.