Triple
T25488358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer John Ryan |
E638773
|
entity |
| Predicate | abusesPowerOver |
P158592
|
FINISHED |
| Object | Cameron Thayer |
—
|
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: Cameron Thayer | Statement: [Officer John Ryan, abusesPowerOver, Cameron Thayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abusesPowerOver Context triple: [Officer John Ryan, abusesPowerOver, Cameron Thayer]
-
A.
abusesPowerOver
chosen
Indicates that one entity misuses their authority or control to unfairly dominate, exploit, or harm another entity.
-
B.
exercisedPowerOver
Indicates that one entity exerted control, influence, or authority over another entity.
-
C.
exercisedPowerWith
Indicates that one entity actively used or exerted power in conjunction with another entity, implying a shared or coordinated exercise of authority or influence.
-
D.
exercisedPowerFrom
Indicates that one entity exerted authority, control, or influence originating from a particular source, position, or location over another entity or context.
-
E.
exercisedPowerAs
Indicates that one entity actively used or wielded authority, influence, or control in the capacity or role specified by 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f77dd964819096ec6b2bff5757a6 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:33 p.m.