Triple
T9468728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Cragg |
E228338
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tony Cragg |
E228338
|
NE 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: Tony Cragg | Statement: [Tony Cragg, name, Tony Cragg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Cragg Context triple: [Tony Cragg, name, Tony Cragg]
-
A.
Tony Cragg
chosen
Tony Cragg is a renowned British sculptor known for his innovative use of materials and abstract forms, and for serving as a prominent professor at the Kunstakademie Düsseldorf.
-
B.
Anthony Caro
Anthony Caro was a pioneering British abstract sculptor known for his large-scale, brightly painted steel constructions that helped redefine modern sculpture in the 20th century.
-
C.
Fred Sandback
Fred Sandback was an American minimalist artist best known for his subtle, site-specific sculptures made from stretched yarn that delineate space with simple geometric lines.
-
D.
Phyllida Barlow
Phyllida Barlow was a British contemporary artist renowned for her monumental, improvised sculptural installations made from everyday materials.
-
E.
Rachel Whiteread
Rachel Whiteread is a British sculptor renowned for her large-scale cast works that capture the negative spaces of everyday objects and architectural interiors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdf604481909bf7d7d477230ca3 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122c45ae88190a43d70300bed98da |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:53 p.m.