Triple
T21688897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchesa |
E535304
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object | Keren Craig |
—
|
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: Keren Craig | Statement: [Marchesa, coFoundedBy, Keren Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keren Craig Context triple: [Marchesa, coFoundedBy, Keren Craig]
-
A.
Keren Craig
chosen
Keren Craig is a British fashion designer best known as the co-founder of the luxury womenswear label Marchesa alongside Georgina Chapman.
-
B.
Kerri Browitt Caviezel
Kerri Browitt Caviezel is an American English teacher and former college basketball player best known as the longtime wife of actor Jim Caviezel.
-
C.
Claire Jackman
Claire Jackman is a fictional character portrayed by actress Gina Bellman, known from her work in British television and film.
-
D.
Tania Gibson
Tania Gibson is a New Zealand local government politician who serves as the mayor of the Grey District on the South Island’s West Coast.
-
E.
Suzanne Mackie
Suzanne Mackie is a British television and film producer known for her work on acclaimed projects such as "The Crown" and other high-profile UK dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cd51d481908df67e4f69826b06 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.