Triple
T30039857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Quaid |
E763266
|
entity |
| Predicate | hasLeftOrganization |
P2983
|
FINISHED |
| Object | My Morning Jacket |
—
|
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: My Morning Jacket | Statement: [Johnny Quaid, hasLeftOrganization, My Morning Jacket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeftOrganization Context triple: [Johnny Quaid, hasLeftOrganization, My Morning Jacket]
-
A.
leftOrganization
chosen
Indicates that an entity has departed from or is no longer affiliated with a particular organization.
-
B.
hasOrganizations
Indicates that an entity is associated with, linked to, or includes one or more organizations.
-
C.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
D.
hasPositionInOrganization
Indicates that an entity holds a specific role, job, or position within a particular organization.
-
E.
hasFrontOrganization
Indicates that an entity is represented, covered, or operated through another entity that serves as its front or façade organization.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 29, 2026, 6:52 p.m.