Triple
T24070419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | murder of Albert Snyder |
E596209
|
entity |
| Predicate | hasLoverOfPerpetrator |
P101216
|
FINISHED |
| Object | Judd Gray |
—
|
NE NERFINISHED |
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: Judd Gray | Statement: [murder of Albert Snyder, hasLoverOfPerpetrator, Judd Gray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoverOfPerpetrator Context triple: [murder of Albert Snyder, hasLoverOfPerpetrator, Judd Gray]
-
A.
hasRelationshipToPerpetrator
chosen
Indicates that an entity has a specified type of relationship or connection to the perpetrator of an act or event.
-
B.
hasFianceeOfSonAsLover
Indicates that a person is in a romantic or sexual relationship with their son’s fiancée.
-
C.
hasAllegedRelationshipWith
Indicates a claimed or suspected relationship between two entities that is not confirmed as factual.
-
D.
spouseOrLover
Indicates a romantic partnership between two entities, whether formalized as a spouse or existing as a lover.
-
E.
hasAffairWith
Indicates that one entity is engaged in a secret or illicit romantic or sexual relationship with another entity, typically outside a committed partnership.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db17c99881909f97e858fb183d86 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:41 p.m.