Triple
T16247723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgil Blessing |
E394417
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Bo Decker |
E1201787
|
NE 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: Bo Decker | Statement: [Virgil Blessing, associatedWith, Bo Decker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bo Decker Context triple: [Virgil Blessing, associatedWith, Bo Decker]
-
A.
Bo Decker
chosen
Bo Decker is the brash, naive young cowboy who serves as the central romantic figure in William Inge’s play "Bus Stop."
-
B.
Paul Kersey
Paul Kersey is the vigilante protagonist of the "Death Wish" film series, known for taking the law into his own hands after personal tragedy.
-
C.
Clint Reilly
Clint Reilly is a San Francisco-based political consultant, real estate investor, and former newspaper owner known for his influence in local politics and media.
-
D.
Chris DeWolfe
Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
-
E.
Jordan Baxter
Jordan Baxter is a fictional character portrayed by actor Graham Phillips, best known from his work in film and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245942460819080897afad0d2fe09 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f8ae4288190b59e4af3e3d95000 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:04 a.m.