Triple
T12880853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gainsborough |
E308087
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Market Cart |
E642425
|
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: The Market Cart | Statement: [Gainsborough, notableWork, The Market Cart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Market Cart Context triple: [Gainsborough, notableWork, The Market Cart]
-
A.
The Market Cart
chosen
The Market Cart is an 18th-century pastoral landscape painting by Thomas Gainsborough, depicting rural life with a cart traveling along a wooded country lane.
-
B.
Man Push Cart
Man Push Cart is a 2005 independent drama film that follows a former Pakistani rock star struggling to make a living as a street vendor in New York City.
-
C.
El Mercado
El Mercado is a vibrant, historic Mexican-style market in San Antonio, Texas, known for its shops, restaurants, and cultural festivities.
-
D.
The Boy with a Cart
The Boy with a Cart is a play by Christopher Fry that dramatizes the life and spiritual journey of the medieval English saint Cuthman of Steyning.
-
E.
The Blue Market
The Blue Market is a historic open-air street market and community hub in the Bermondsey area of south London.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fc1e488190a0c48039f6213e62 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bbb735c8190a08683a6183e60c4 |
completed | May 3, 2026, 12:50 a.m. |
Created at: April 9, 2026, 5:39 p.m.