Triple
T11758931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson family murders |
E279602
|
entity |
| Predicate | hasBodyDiscoveryLocation |
P101213
|
FINISHED |
| Object | Hudson family home on Chicago’s South Side |
—
|
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: Hudson family home on Chicago’s South Side | Statement: [Hudson family murders, hasBodyDiscoveryLocation, Hudson family home on Chicago’s South Side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBodyDiscoveryLocation Context triple: [Hudson family murders, hasBodyDiscoveryLocation, Hudson family home on Chicago’s South Side]
-
A.
hasBodyOf
Indicates that one entity possesses, contains, or is composed of the physical body or main substance of another entity.
-
B.
hasBodyName
Indicates that an entity has a specific name assigned to its physical body.
-
C.
belongsToBody
Indicates that something is a part of, or under the ownership/authority of, a particular body or organization.
-
D.
hasDiscoveryFeature
Indicates that an entity includes or supports a capability for discovering, finding, or surfacing other relevant entities, items, or information.
-
E.
hasDiscoveryFacility
Indicates that an entity has, is associated with, or is served by a facility where discoveries (such as scientific, medical, or technological findings) are made or were made.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5220f148190ae60d1941a579ab6 |
completed | April 10, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890467a2481909ce6c669e739c8de |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.