Triple
T24846148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Bail Bonds |
E621750
|
entity |
| Predicate | onScreenDepiction |
P113556
|
FINISHED |
| Object | small independent bail bond office |
—
|
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: small independent bail bond office | Statement: [Cherry Bail Bonds, onScreenDepiction, small independent bail bond office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onScreenDepiction Context triple: [Cherry Bail Bonds, onScreenDepiction, small independent bail bond office]
-
A.
visualDepictionOnScreen
chosen
Indicates that one entity is visually shown or rendered on a screen as a depiction of another entity.
-
B.
isProgrammaticDepictionOf
Indicates that one entity is a programmatically generated or computational representation of another entity.
-
C.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
-
D.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
E.
positionDepicted
Indicates that one entity visually represents or depicts the spatial position or placement of another entity.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:19 a.m.