Triple
T30537290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Newton Ford |
E777181
|
entity |
| Predicate | shotInTheBackOfTheHead |
P83427
|
FINISHED |
| Object | Jesse James |
—
|
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: Jesse James | Statement: [Robert Newton Ford, shotInTheBackOfTheHead, Jesse James]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shotInTheBackOfTheHead Context triple: [Robert Newton Ford, shotInTheBackOfTheHead, Jesse James]
-
A.
shotBy
chosen
Indicates that one entity fired a projectile or weapon that hit and wounded or killed another entity.
-
B.
wasShotAt
Indicates that an entity directed gunfire or a shooting attempt toward another entity.
-
C.
shotThrough
Indicates that one entity has been pierced or passed through by a projectile or similar object fired from another entity.
-
D.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
E.
shotDownOver
Indicates that one entity caused another (typically an aircraft or projectile) to be brought down while it was in flight above a particular location or area.
- 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_69f2249d183c8190b79937c1768d2163 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f688520c60819081c3365a0f944326 |
completed | May 2, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:19 p.m.