Triple
T31207857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder at Carthage Jail |
E795649
|
entity |
| Predicate | hasChargeContext |
P194022
|
FINISHED |
| Object | charges related to destruction of the Nauvoo Expositor press |
—
|
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: charges related to destruction of the Nauvoo Expositor press | Statement: [Murder at Carthage Jail, hasChargeContext, charges related to destruction of the Nauvoo Expositor press]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChargeContext Context triple: [Murder at Carthage Jail, hasChargeContext, charges related to destruction of the Nauvoo Expositor press]
-
A.
hasCharge
Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
-
B.
hasChargePosition
Indicates that one entity occupies or is assigned to a particular official role, office, or position of responsibility within another entity.
-
C.
hasChargeNumber
Indicates that an entity is associated with a specific charge identifier or charge reference number.
-
D.
containsCharge
Indicates that one entity includes, holds, or encompasses a specific charge associated with it.
-
E.
hasCharacterContext
Indicates that a character is associated with or participates in a particular contextual situation, setting, or state.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 29, 2026, 9:09 p.m.