Triple
T35200975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Dahmer |
E1016399
|
entity |
| Predicate | keptInResidence |
P182375
|
FINISHED |
| Object | body parts of victims |
—
|
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: body parts of victims | Statement: [Jeffrey Dahmer, keptInResidence, body parts of victims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keptInResidence Context triple: [Jeffrey Dahmer, keptInResidence, body parts of victims]
-
A.
inResidenceAt
Indicates that an entity lives or resides at a particular location or residence.
-
B.
grantedResidence
Indicates that one entity has officially conferred the right to reside or live in a place or jurisdiction to another entity.
-
C.
usedAtResidence
Indicates that an object, resource, or service is utilized within or for the purposes of a particular residence.
-
D.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
E.
hasResidenceOn
Indicates that one entity’s place of residence is located on or along another entity, such as a street, road, or other linear feature.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78e36716081909d4beea38c6d6017 |
completed | May 3, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c337cec8190bfdab225a3cc96db |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:02 p.m.