Triple
T36755315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Murphy |
E908033
|
entity |
| Predicate | legalStatusAfterRelease |
P121935
|
FINISHED |
| Object | no longer imprisoned |
—
|
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 longer imprisoned | Statement: [Larry Murphy, legalStatusAfterRelease, no longer imprisoned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAfterRelease Context triple: [Larry Murphy, legalStatusAfterRelease, no longer imprisoned]
-
A.
legalStatusBeforeRelease
Indicates the legal condition or classification an entity was subject to prior to its release.
-
B.
legalStatusAfterEscape
Indicates the legal status or condition assigned to an individual after they have escaped from custody, confinement, or lawful control.
-
C.
legalStatusAtConviction
Indicates the legal status or condition an individual held at the time they were convicted.
-
D.
legalStatusAfterEvent
chosen
Indicates the legal condition or classification an entity has as a result of a specified event or occurrence.
-
E.
criminalStatus
Indicates the legal condition of an entity with respect to criminal law, such as whether they are accused, convicted, or cleared of a crime.
- 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_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:12 p.m.