Triple
T11054956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ableman v. Booth |
E261349
|
entity |
| Predicate | backgroundEvent |
P97536
|
FINISHED |
| Object | Sherman M. Booth's arrest for aiding the escape of a fugitive slave |
—
|
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: Sherman M. Booth's arrest for aiding the escape of a fugitive slave | Statement: [Ableman v. Booth, backgroundEvent, Sherman M. Booth's arrest for aiding the escape of a fugitive slave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backgroundEvent Context triple: [Ableman v. Booth, backgroundEvent, Sherman M. Booth's arrest for aiding the escape of a fugitive slave]
-
A.
basedOnEvent
Indicates that something is derived from, influenced by, or determined in reference to a specific event.
-
B.
typicalEvent
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
-
C.
typicalBackground
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
D.
eventBefore
Indicates that one event occurs earlier in time than another event.
-
E.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a0890481909c1d4f9d5b23f33a |
completed | April 9, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.