Triple
T16655750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kidnapping of Charles F. Urschel |
E404722
|
entity |
| Predicate | dateOfArrestOfMainPerpetrator |
P3170
|
FINISHED |
| Object | 1933-09-26 |
—
|
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: 1933-09-26 | Statement: [kidnapping of Charles F. Urschel, dateOfArrestOfMainPerpetrator, 1933-09-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfArrestOfMainPerpetrator Context triple: [kidnapping of Charles F. Urschel, dateOfArrestOfMainPerpetrator, 1933-09-26]
-
A.
dateOfArrest
chosen
Indicates the specific date on which an entity was formally arrested by an authority.
-
B.
dateOfMainCrime
Indicates the specific calendar date on which the primary or principal crime in question was committed.
-
C.
arrestedAt
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
-
D.
dateOfImprisonmentStart
Indicates the date on which an entity’s period of imprisonment begins.
-
E.
arrestYear
Indicates the calendar year in which an arrest took place.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfa45d8819081bf8579a7160389 |
completed | April 18, 2026, 12:41 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.