Triple
T16112326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town & Country magazine feature on Carys Zeta Douglas |
E390909
|
entity |
| Predicate | positions |
P121523
|
FINISHED |
| Object | Carys Zeta Douglas as a rising star |
—
|
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: Carys Zeta Douglas as a rising star | Statement: [Town & Country magazine feature on Carys Zeta Douglas, positions, Carys Zeta Douglas as a rising star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positions Context triple: [Town & Country magazine feature on Carys Zeta Douglas, positions, Carys Zeta Douglas as a rising star]
-
A.
positioning
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
-
B.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
-
C.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
D.
points
Indicates that one entity directs attention, focus, or a physical/abstract indication toward another entity or location.
-
E.
positionDescribed
Indicates that a position, location, or spatial arrangement of an entity is explicitly specified or characterized, typically in descriptive terms.
- 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_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. |
| PDg | Predicate description generation | batch_69e183b9d3f08190953ada68f4272996 |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 5 a.m.