Triple
T1942769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avelo Airlines |
E41591
|
entity |
| Predicate | roleOfAndrewLevy |
P34198
|
FINISHED |
| Object | founder |
—
|
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: founder | Statement: [Avelo Airlines, roleOfAndrewLevy, founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfAndrewLevy Context triple: [Avelo Airlines, roleOfAndrewLevy, founder]
-
A.
roleInTSEliotLife
Indicates the specific role, involvement, or significance an entity had in T. S. Eliot’s life.
-
B.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
C.
roleInResearch
Indicates that an entity participates in a research activity with a specified function, position, or responsibility within that research.
-
D.
roleOfGregPeters
Indicates that the specified role or position is held by Greg Peters.
-
E.
notableWorkRole
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:36 p.m.