Triple
T33211076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm Bannister |
E850159
|
entity |
| Predicate | legalStatusAtBeginningOfStory |
P132103
|
FINISHED |
| Object | federal prisoner |
—
|
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: federal prisoner | Statement: [Malcolm Bannister, legalStatusAtBeginningOfStory, federal prisoner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAtBeginningOfStory Context triple: [Malcolm Bannister, legalStatusAtBeginningOfStory, federal prisoner]
-
A.
legalStatusAtStartOfFilm
chosen
Indicates the legal condition or standing an entity has at the beginning of the film’s narrative.
-
B.
legalStatusBefore
Indicates the legal condition or classification that applied to an entity prior to a specified event, change, or point in time.
-
C.
legalStatusAtIssue
Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
-
D.
legalStatusAtDiscovery
Indicates the legal status or condition of an entity at the specific time it was discovered or first identified.
-
E.
legalStatusAtApproval
Indicates the legal status or classification an entity held at the time it was formally approved.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 1, 2026, 1:30 a.m.