Triple
T4777020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailey |
E106075
|
entity |
| Predicate | Garnet BaileyRole |
P59255
|
FINISHED |
| Object | former Los Angeles Kings director of pro scouting |
—
|
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: former Los Angeles Kings director of pro scouting | Statement: [Bailey, Garnet BaileyRole, former Los Angeles Kings director of pro scouting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Garnet BaileyRole Context triple: [Bailey, Garnet BaileyRole, former Los Angeles Kings director of pro scouting]
-
A.
Lincoln Lewis
Indicates a relationship or association involving the entity or name "Lincoln Lewis," such as authorship, participation, or attribution in a given context.
-
B.
Michael CurryTitle
Indicates that an entity holds the specific title or position associated with Michael Curry.
-
C.
protagonistFullName
Indicates that the subject entity is the full, proper name (including given and family names) of the story’s main protagonist.
-
D.
Dan HartRole
Indicates that Dan Hart holds or performs a specific role, position, or function in relation to another entity or context.
-
E.
Ron Harper
Indicates a relationship or action involving Ron Harper, such as participation, association, or attribution connected to this 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6922407481908565ed0b1dac2b30 |
completed | March 20, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:21 p.m.