Triple
T8894963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combines |
E211783
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Canyon |
E220729
|
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: Canyon | Statement: [Combines, notableWork, Canyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canyon Context triple: [Combines, notableWork, Canyon]
-
A.
Canyon
chosen
Canyon is a famous 1959 combine painting by Robert Rauschenberg that merges traditional painting with found objects, including a stuffed bald eagle, exemplifying his radical blurring of art and everyday materials.
-
B.
Canyon
Canyon is a small city in the Texas Panhandle known as the home of West Texas A&M University and a gateway to Palo Duro Canyon State Park.
-
C.
Canyon
Canyon is a 1959 abstract expressionist painting by Helen Frankenthaler, known for its innovative soak-stain technique and luminous color fields.
-
D.
La Cañada
La Cañada is a town in the Mexican state of Querétaro that serves as the municipal seat of El Marqués.
-
E.
Verdon
Verdon is a surname most notably associated with American actress and dancer Gwen Verdon.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61be2c2081908f39cccdc149872d |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba212fd081909ae87853c81e1d30 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.