Triple
T36755307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Murphy |
E908033
|
entity |
| Predicate | paroleOrEarlyRelease |
P81883
|
FINISHED |
| Object | released after serving 10 years |
—
|
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: released after serving 10 years | Statement: [Larry Murphy, paroleOrEarlyRelease, released after serving 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paroleOrEarlyRelease Context triple: [Larry Murphy, paroleOrEarlyRelease, released after serving 10 years]
-
A.
paroleEligibility
Indicates whether and under what conditions an individual is legally eligible to be considered for release on parole.
-
B.
eventuallyParoled
chosen
Indicates that an individual who was previously incarcerated was later released from prison on parole.
-
C.
paroleHearings
Indicates that one or more formal hearings are held to evaluate an incarcerated individual's eligibility or suitability for parole.
-
D.
pardonOrRelease
Indicates that an authority formally forgives an entity for an offense or frees them from custody, penalty, or imposed restrictions.
-
E.
dateOfParole
Indicates the specific date on which an individual is officially released on parole.
- 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.