Triple
T32630903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Poe |
E834203
|
entity |
| Predicate | incarcerationLocation |
P6022
|
FINISHED |
| Object | United States federal prison system |
—
|
NE NERFINISHED |
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: United States federal prison system | Statement: [Cameron Poe, incarcerationLocation, United States federal prison system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incarcerationLocation Context triple: [Cameron Poe, incarcerationLocation, United States federal prison system]
-
A.
prisonLocatedIn
Indicates that a prison is situated within or at a specific geographic or administrative location.
-
B.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
-
C.
residenceDuringImprisonment
Indicates that an entity’s place of residence is specified for the period during which that entity is imprisoned.
-
D.
wasImprisonedIn
chosen
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
E.
prisonName
Indicates that an entity is known by a particular prison’s name.
- 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.