Triple
T21089720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayleigh McEnany |
E519603
|
entity |
| Predicate | roleAtCNN |
P142803
|
FINISHED |
| Object | political commentator |
—
|
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: political commentator | Statement: [Kayleigh McEnany, roleAtCNN, political commentator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtCNN Context triple: [Kayleigh McEnany, roleAtCNN, political commentator]
-
A.
roleInElEspectador
Indicates that an entity has a specific role or participation in the work titled "El Espectador."
-
B.
roleAtD.C.United
Indicates that an entity holds or held a specific role or position within the D.C. United soccer organization.
-
C.
editorialRole
Indicates that one entity holds an editorial position or responsibility in relation to another entity, such as a publication, work, or organization.
-
D.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
portfolioRole
Indicates the specific function, capacity, or position an entity holds within a portfolio or collection of assets.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094dd65481909391ed74115afc23 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:50 p.m.