Triple
T19822792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottsboro Boys trials |
E476238
|
entity |
| Predicate | initialSentence |
P137462
|
FINISHED |
| Object | death |
—
|
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: death | Statement: [Scottsboro Boys trials, initialSentence, death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialSentence Context triple: [Scottsboro Boys trials, initialSentence, death]
-
A.
initialOpening
Indicates the first or earliest instance in which something is opened, begun, or made accessible.
-
B.
originalSentence
Indicates that a given sentence is the initial or source formulation from which other versions, translations, or modifications are derived.
-
C.
pilotSentence
Indicates that an entity operates or controls an aircraft or similar vehicle in the context of a described situation or sentence.
-
D.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
E.
initialGoal
Indicates that something represents the first or starting objective or target in a sequence of goals.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654ffb37c8190be540a793befe16c |
completed | April 20, 2026, 4:31 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:50 p.m.