Triple
T9971865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard Goetz |
E196226
|
entity |
| Predicate | timeServed |
P8398
|
FINISHED |
| Object | approximately eight months |
—
|
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: approximately eight months | Statement: [Bernhard Goetz, timeServed, approximately eight months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeServed Context triple: [Bernhard Goetz, timeServed, approximately eight months]
-
A.
servedPrisonTime
Indicates that an entity has spent a period of time incarcerated in prison as a consequence of a legal sentence.
-
B.
servedTimeAt
Indicates the specific time period during which an entity was served or received service at a particular place or context.
-
C.
durationOfImprisonment
chosen
Indicates the length of time that an entity is or was held in imprisonment.
-
D.
peakIncarcerationPeriod
Indicates the time period during which incarceration levels for the referenced entity were at their highest.
-
E.
servedUntil
Indicates the ending time or date up to which an entity held a position, role, or service.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7bb03688190a3f4fc1988b8fafa |
completed | April 2, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:48 p.m.