Triple
T36973139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrance Jamar Graham |
E914621
|
entity |
| Predicate | ageAtTimeOfOffense |
P90401
|
FINISHED |
| Object | juvenile |
—
|
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: juvenile | Statement: [Terrance Jamar Graham, ageAtTimeOfOffense, juvenile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtTimeOfOffense Context triple: [Terrance Jamar Graham, ageAtTimeOfOffense, juvenile]
-
A.
ageAtTimeOfAccusation
Indicates the age a person was at the specific time when an accusation was made against them.
-
B.
ageAtArrest
Indicates the age a person was at the time they were arrested.
-
C.
ageAtTimeOfConvictionInStory
Indicates the age a person was at the specific time they were convicted within the context or timeline of the story.
-
D.
ageGroupOfAccused
Indicates the age category or range to which the accused person belongs.
-
E.
perpetratorAge
chosen
Indicates the age of the individual who committed or is alleged to have committed an offense or harmful act.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.