Triple
T12746737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Landeskog |
E304622
|
entity |
| Predicate | shootsFrom |
P76638
|
FINISHED |
| Object | left 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: left side | Statement: [Gabriel Landeskog, shootsFrom, left side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shootsFrom Context triple: [Gabriel Landeskog, shootsFrom, left side]
-
A.
shoots
Indicates that one entity propels a projectile or discharge toward another entity, typically with the intent to hit or affect it.
-
B.
shotBy
Indicates that one entity fired a projectile or weapon that hit and wounded or killed another entity.
-
C.
shotFrom
chosen
Indicates that something is propelled or discharged starting at a particular source or origin.
-
D.
shootsSide
Indicates that one entity fires a projectile or weapon toward the side of another entity, rather than directly at its front or back.
-
E.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.