Triple
T36594611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Lease Corporation |
E902761
|
entity |
| Predicate | filesReports |
P129219
|
FINISHED |
| Object | Form 10-K |
—
|
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: Form 10-K | Statement: [Air Lease Corporation, filesReports, Form 10-K]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filesReports Context triple: [Air Lease Corporation, filesReports, Form 10-K]
-
A.
filesReport
chosen
Indicates that one entity submits or delivers an official report or document to another entity or authority.
-
B.
reportsWithin
Indicates that one entity submits or delivers a report to another entity within a specified time frame or boundary.
-
C.
reportsFor
Indicates that one entity is subordinate to another and is required to provide updates or answer to that entity, typically within an organizational or hierarchical structure.
-
D.
reportsFrom
Indicates that one entity provides information, updates, or status reports to another entity, typically reflecting a reporting or accountability relationship.
-
E.
reportsFormat
Indicates that one entity reports or presents information in a particular format specified by another entity.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.