Triple
T37008667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Jim Keene |
E915877
|
entity |
| Predicate | positionInPrison |
P200953
|
FINISHED |
| Object | influential inmate |
—
|
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: influential inmate | Statement: [Big Jim Keene, positionInPrison, influential inmate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInPrison Context triple: [Big Jim Keene, positionInPrison, influential inmate]
-
A.
positionOnPrisons
Indicates a stance, opinion, or policy position that an entity holds regarding the use, role, or operation of prisons.
-
B.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
C.
imprisonedWith
Indicates that two entities are confined or held in prison together at the same time and place.
-
D.
residenceDuringImprisonment
Indicates that an entity’s place of residence is specified for the period during which that entity is imprisoned.
-
E.
hasBeenImprisonedBy
Indicates that one entity has been confined or incarcerated under the authority or control of another entity.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
| PDg | Predicate description generation | batch_69ffbb1b3b888190ba329ad321fc3f3d |
completed | May 9, 2026, 10:54 p.m. |
Created at: May 3, 2026, 4:14 p.m.