Triple
T35289728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Stayner |
E1019187
|
entity |
| Predicate | accompliceOfKidnapper |
P21638
|
FINISHED |
| Object | Irvin Edward Murphy |
—
|
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: Irvin Edward Murphy | Statement: [Steven Stayner, accompliceOfKidnapper, Irvin Edward Murphy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accompliceOfKidnapper Context triple: [Steven Stayner, accompliceOfKidnapper, Irvin Edward Murphy]
-
A.
partnerInCrime
chosen
Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
-
B.
wasKidnapped
Indicates that an entity was forcibly taken and held against their will by another entity.
-
C.
abductedBy
Indicates that an entity has been forcibly taken or carried away by another entity against their will.
-
D.
abductionIntendedFor
Indicates that an abduction is carried out with the specific purpose or intended outcome of affecting or involving a particular target or beneficiary.
-
E.
ageAtKidnapping
Indicates the age a person was at the time they were kidnapped.
- 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79012e2e481908c587ff189b3deb3 |
completed | May 3, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.