Triple
T21595561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Air Corporation |
E532889
|
entity |
| Predicate | roleOfFrankLorenzo |
P144101
|
FINISHED |
| Object | chairman |
—
|
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: chairman | Statement: [Texas Air Corporation, roleOfFrankLorenzo, chairman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfFrankLorenzo Context triple: [Texas Air Corporation, roleOfFrankLorenzo, chairman]
-
A.
Joseph Alioto
Indicates a relationship or action involving the person named Joseph Alioto, such as authorship, participation, or association in a given context.
-
B.
roleOfJohn Fred Young
Indicates that John holds or performs the role associated with Fred Young.
-
C.
franchiseOwner
Indicates that one entity holds the ownership and operating rights of a franchise granted by another entity.
-
D.
roleOfCarmen Pavlovic
Indicates that the specified role or position is held or performed by Carmen Pavlovic.
-
E.
relationshipToFrankDeFazio
Indicates the type or nature of a person's relationship to Frank DeFazio.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae15a7c819081627450ae726b0b |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63384a8fc819084c596bb53a3a1db |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 16, 2026, 6:32 p.m.