Triple
T33446447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bud Grossman |
E856517
|
entity |
| Predicate | rejectsCareerProspectsOf |
P107710
|
FINISHED |
| Object | Llewyn Davis |
—
|
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: Llewyn Davis | Statement: [Bud Grossman, rejectsCareerProspectsOf, Llewyn Davis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rejectsCareerProspectsOf Context triple: [Bud Grossman, rejectsCareerProspectsOf, Llewyn Davis]
-
A.
rejectsCareerPath
chosen
Indicates that an entity refuses, declines, or turns away from a particular career path as an option or direction.
-
B.
acceptsCareerPath
Indicates that one entity approves or agrees to follow a proposed career path associated with another entity.
-
C.
supportedCareerOf
Indicates that one entity provided assistance, resources, or endorsement that helped establish or advance another entity’s career.
-
D.
careerTackles
Indicates the total number of tackles a player has made over the course of their entire career.
-
E.
careerSacks
Indicates the total number of times a defensive player has sacked a quarterback over the course of their entire career.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4a8093881908b377c57e32dd3e2 |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.