Triple
T37580429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | murder of John Lennon |
E934940
|
entity |
| Predicate | perpetratorIncarcerationState |
P161173
|
FINISHED |
| Object | New York |
—
|
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: New York | Statement: [murder of John Lennon, perpetratorIncarcerationState, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorIncarcerationState Context triple: [murder of John Lennon, perpetratorIncarcerationState, New York]
-
A.
isStatePrison
Indicates that the entity functions as a prison facility operated by a state government.
-
B.
perpetratorState
chosen
Indicates the state, condition, or status of the entity that carries out or is responsible for a particular harmful, illegal, or wrongful act.
-
C.
countryOfImprisonment
Indicates the country in which a person or entity is or was imprisoned.
-
D.
placeOfConviction
Indicates the location where a person was formally convicted of a crime or offense.
-
E.
isPrimaryStatePrisonSystemFor
Indicates that one entity serves as the main state-level prison system responsible for managing and overseeing the incarceration operations of another jurisdiction or region.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:17 p.m.