Triple
T13278594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America West Airlines |
E316256
|
entity |
| Predicate | Doug ParkerRole |
P109293
|
FINISHED |
| Object | Chief Executive Officer |
—
|
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: Chief Executive Officer | Statement: [America West Airlines, Doug ParkerRole, Chief Executive Officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Doug ParkerRole Context triple: [America West Airlines, Doug ParkerRole, Chief Executive Officer]
-
A.
Brian NiccolRole
Indicates that a specified role or position is held by, associated with, or pertains to Brian Niccol.
-
B.
Dan HartRole
Indicates that Dan Hart holds or performs a specific role, position, or function in relation to another entity or context.
-
C.
James Pearson
Indicates a relationship or action involving the entity named "James Pearson" and another entity, event, or attribute, depending on context.
-
D.
roleOfGuyPatterson
Indicates that an entity serves as or holds the role associated with Guy Patterson in relation to another entity or context.
-
E.
Michael B. OlbrichRole
Indicates the specific role, position, or function that Michael B. Olbrich holds or performs in relation to another entity or context.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:26 p.m.