Triple
T7104100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Gainsborough |
E165530
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Bath |
E71494
|
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: Bath | Statement: [Thomas Gainsborough, workLocation, Bath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bath Context triple: [Thomas Gainsborough, workLocation, Bath]
-
A.
Bath
chosen
Bath is a historic city in Somerset, England, renowned for its Roman-built baths and Georgian architecture.
-
B.
Bath
Bath is a small town located in the parish of St. Thomas in the East in eastern Jamaica, known historically for its mineral springs and colonial-era significance.
-
C.
The Bath
"The Bath" is an 1893 Impressionist painting by American artist Mary Cassatt that tenderly depicts a mother bathing her child, highlighting themes of motherhood and domestic intimacy.
-
D.
Bristol
Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
-
E.
Bristol
Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58b3f708190bebca7d4c4db40f2 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a3231f9c8190a19ddff3f5bf7cac |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:42 p.m.