Triple
T16112317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town & Country magazine feature on Carys Zeta Douglas |
E390909
|
entity |
| Predicate | highProfile |
P17855
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Town & Country magazine feature on Carys Zeta Douglas, highProfile, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highProfile Context triple: [Town & Country magazine feature on Carys Zeta Douglas, highProfile, true]
-
A.
careerHigh
Indicates the highest level of achievement or performance an entity has reached in its career, typically measured in a specific statistic or accomplishment.
-
B.
hasHigh
chosen
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
C.
hasHighProfileOwnership
Indicates that an entity is owned, controlled, or significantly invested in by a prominent or high-profile individual or organization.
-
D.
elite
Indicates that the subject belongs to a select, superior, or highly privileged subset within a larger group or category.
-
E.
hires
Indicates that one entity employs or contracts another entity to perform work or services.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20167ee1481909e56dc632bfc0fc5 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.