Triple
T32154083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preppy Killer |
E821232
|
entity |
| Predicate | hasArrestDate |
P3170
|
FINISHED |
| Object | August 26, 1986 |
—
|
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: August 26, 1986 | Statement: [Preppy Killer, hasArrestDate, August 26, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArrestDate Context triple: [Preppy Killer, hasArrestDate, August 26, 1986]
-
A.
hasBeenArrestedBy
Indicates that an entity has been taken into custody or formally apprehended by another entity, typically a law enforcement authority.
-
B.
wasArrestedDuring
Indicates that an entity was arrested in the course of, or at the time of, a specified event or activity.
-
C.
dateOfArrest
chosen
Indicates the specific date on which an entity was formally arrested by an authority.
-
D.
wasArrested
Indicates that an authority detained and took a person into legal custody in connection with a suspected offense.
-
E.
wasArrestedAfter
Indicates that one entity was arrested at a point in time later than another specified event or arrest.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 1, 2026, 12:32 a.m.