Triple
T36973106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Simmons |
E914620
|
entity |
| Predicate | legalStatusAtTimeOfCrime |
P201245
|
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: [Christopher Simmons, legalStatusAtTimeOfCrime, juvenile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAtTimeOfCrime Context triple: [Christopher Simmons, legalStatusAtTimeOfCrime, juvenile]
-
A.
legalStatusAtConviction
Indicates the legal status or condition an individual held at the time they were convicted.
-
B.
criminalStatus
Indicates the legal condition of an entity with respect to criminal law, such as whether they are accused, convicted, or cleared of a crime.
-
C.
political status at time of trial
Indicates the political position or role a person held at the specific time when their trial took place.
-
D.
legalStatusAtDiscovery
Indicates the legal status or condition of an entity at the specific time it was discovered or first identified.
-
E.
legalStatusAtIssue
Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
| PDg | Predicate description generation | batch_69ffe01be6e88190ac0742a5f74e769e |
completed | May 10, 2026, 1:32 a.m. |
Created at: May 3, 2026, 4:14 p.m.