Triple
T26667102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Nassar |
E672213
|
entity |
| Predicate | assaultedByInPrison |
P18691
|
FINISHED |
| Object | another inmate in 2023 |
—
|
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: another inmate in 2023 | Statement: [Larry Nassar, assaultedByInPrison, another inmate in 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assaultedByInPrison Context triple: [Larry Nassar, assaultedByInPrison, another inmate in 2023]
-
A.
assaultedBy
chosen
Indicates that an entity has been attacked or subjected to violent physical aggression by another entity.
-
B.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
C.
heldInSolitaryConfinement
Indicates that an entity is subjected to isolation from others, typically as a form of confinement or punishment, where they are kept alone for extended periods.
-
D.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
E.
hasBeenImprisonedBy
Indicates that one entity has been confined or incarcerated under the authority or control of another entity.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f616c4dda8819088c175f27c5f0961 |
completed | May 2, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:10 a.m.