Triple
T17459336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Getzlaf |
E425111
|
entity |
| Predicate | Ryan Getzlaf |
P127544
|
FINISHED |
| Object | is a professional ice hockey player |
—
|
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: is a professional ice hockey player | Statement: [Chris Getzlaf, Ryan Getzlaf, is a professional ice hockey player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Ryan Getzlaf Context triple: [Chris Getzlaf, Ryan Getzlaf, is a professional ice hockey player]
-
A.
BuffaloSabresCaptain
Indicates that the subject is the team captain of the Buffalo Sabres NHL franchise.
-
B.
notablePlayerDallasStars
Indicates that a person is a notable or prominent player for the Dallas Stars hockey team.
-
C.
Michael Bradley
Indicates a relationship or action involving an entity named Michael Bradley, though the specific nature of the relationship or action is not defined by the predicate alone.
-
D.
PittsburghTeamCaptain
Indicates that an entity serves as the captain of a sports team based in Pittsburgh.
-
E.
Taylor Twellman
Indicates a relationship or action involving the entity associated with the name "Taylor Twellman," such as participation in or connection to events, organizations, or roles linked to that individual.
- F. None of above. chosen
Provenance (4 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451444e008190944d9668d4d901fa |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:47 a.m.