Triple
T8544907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clutter family murders |
E202293
|
entity |
| Predicate | executionDateOfPerpetrators |
P63620
|
FINISHED |
| Object | 1965-04-14 |
—
|
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: 1965-04-14 | Statement: [Clutter family murders, executionDateOfPerpetrators, 1965-04-14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executionDateOfPerpetrators Context triple: [Clutter family murders, executionDateOfPerpetrators, 1965-04-14]
-
A.
primaryPerpetratorExecutionDate
Indicates the date on which the main perpetrator of an act or crime was executed.
-
B.
executionDateOfKeyConvicts
chosen
Indicates the date on which the key convicts in a case were executed.
-
C.
dateOfArrest
Indicates the specific date on which an entity was formally arrested by an authority.
-
D.
dateOfMainCrime
Indicates the specific calendar date on which the primary or principal crime in question was committed.
-
E.
dateOfConviction
Indicates the specific calendar date on which a person or entity was formally found guilty of an offense.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e4e21c8190afcbca73713a5fa8 |
completed | March 31, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:18 p.m.