Triple
T34966915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highest Duty: My Search for What Really Matters |
E1008424
|
entity |
| Predicate | subjectEmployerDescribed |
P15823
|
FINISHED |
| Object | US Airways |
—
|
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: US Airways | Statement: [Highest Duty: My Search for What Really Matters, subjectEmployerDescribed, US Airways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectEmployerDescribed Context triple: [Highest Duty: My Search for What Really Matters, subjectEmployerDescribed, US Airways]
-
A.
employerIn
Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
-
B.
workDescribes
Indicates that one work (such as a document, artwork, or dataset) provides a description or explanatory account of another work.
-
C.
workDescribedIn
chosen
Indicates that a work (such as a publication or document) provides a description or account of the referenced entity.
-
D.
sectorEmploymentRole
Indicates the specific role or function an entity holds within a particular employment sector or industry.
-
E.
employerInReality
Indicates that one entity is the actual, real-world employer of another entity, as opposed to a nominal, legal, or assumed employer.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 3, 2026, 4 p.m.