Triple
T1041448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil' Kim |
E22476
|
entity |
| Predicate | prisonSentenceDuration |
P8398
|
FINISHED |
| Object | approximately 1 year |
—
|
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 1 year | Statement: [Lil' Kim, prisonSentenceDuration, approximately 1 year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonSentenceDuration Context triple: [Lil' Kim, prisonSentenceDuration, approximately 1 year]
-
A.
durationOfImprisonment
chosen
Indicates the length of time that an entity is or was held in imprisonment.
-
B.
imprisonedFor
Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
-
C.
sentencedTo
Indicates that an authority has officially assigned a specific punishment or penalty to an entity, typically as the outcome of a legal or disciplinary process.
-
D.
peakIncarcerationPeriod
Indicates the time period during which incarceration levels for the referenced entity were at their highest.
-
E.
dateOfImprisonmentEnd
Indicates the date on which an entity’s period of imprisonment or incarceration comes to an end.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b845fa8c8190a7b69629883b62e2 |
completed | March 1, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.