Triple
T38078440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda Saldívar |
E950783
|
entity |
| Predicate | eligibleForParoleAfter |
P101393
|
FINISHED |
| Object | 30 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: 30 years | Statement: [Yolanda Saldívar, eligibleForParoleAfter, 30 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleForParoleAfter Context triple: [Yolanda Saldívar, eligibleForParoleAfter, 30 years]
-
A.
paroleEligibility
chosen
Indicates whether and under what conditions an individual is legally eligible to be considered for release on parole.
-
B.
dateOfParole
Indicates the specific date on which an individual is officially released on parole.
-
C.
eventuallyParoled
Indicates that an individual who was previously incarcerated was later released from prison on parole.
-
D.
paroleOrSupervisedReleaseTerm
Indicates that an individual is subject to a specified period of parole or supervised release following incarceration or conviction.
-
E.
paroleDecisionYear
Indicates the year in which a decision regarding an entity’s parole was made.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.