Triple
T11806760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Balfour |
E280765
|
entity |
| Predicate | paroleEligibility |
P101393
|
FINISHED |
| Object | no parole |
—
|
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: no parole | Statement: [William Balfour, paroleEligibility, no parole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paroleEligibility Context triple: [William Balfour, paroleEligibility, no parole]
-
A.
paroleHearings
Indicates that one or more formal hearings are held to evaluate an incarcerated individual's eligibility or suitability for parole.
-
B.
pardonStatus
Indicates whether an entity has been officially forgiven or exempted from penalties for a prior offense or violation.
-
C.
eventuallyParoled
Indicates that an individual who was previously incarcerated was later released from prison on parole.
-
D.
dateOfParole
Indicates the specific date on which an individual is officially released on parole.
-
E.
legalStatusBeforeRelease
Indicates the legal condition or classification an entity was subject to prior to its release.
- F. None of above. chosen
Provenance (4 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a6574b7081908f7451d2bb233967 |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:42 p.m.