Triple
T19161510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Sidney Mount |
E469066
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
California News
"California News" is a 19th-century genre painting by American artist William Sidney Mount, depicting figures gathered around and reacting to news from California during the Gold Rush era.
|
E1361041
|
NE FINISHED |
How this triple was built (4 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: California News | Statement: [William Sidney Mount, notableWork, California News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: California News Context triple: [William Sidney Mount, notableWork, California News]
-
A.
CA
CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
-
B.
CA
CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
-
C.
CA
CA is the governing body responsible for overseeing and promoting professional and amateur cricket in Australia.
-
D.
CA
CA is the two-letter U.S. postal abbreviation for the state of California.
-
E.
CA
CA is the commonly used abbreviation for Club Africain, a major Tunisian multi-sport club best known for its football team based in Tunis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: California News Triple: [William Sidney Mount, notableWork, California News]
Generated description
"California News" is a 19th-century genre painting by American artist William Sidney Mount, depicting figures gathered around and reacting to news from California during the Gold Rush era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: California News Target entity description: "California News" is a 19th-century genre painting by American artist William Sidney Mount, depicting figures gathered around and reacting to news from California during the Gold Rush era.
-
A.
CA
CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
-
B.
CA
CA is the commonly used abbreviation for the Court of Appeals of the Philippines, the country's second-highest judicial body that reviews decisions of lower courts and quasi-judicial agencies.
-
C.
CA
CA is the official abbreviation used for the professional head of the Australian Army.
-
D.
CA
CA is the abbreviated name for the Council of Administration, one of the main governing bodies of the Universal Postal Union responsible for overseeing its operations and policy implementation.
-
E.
CA
CA is the abbreviation for the Canadian Alliance, a former federal political party in Canada that existed from 2000 to 2003 and later merged into the Conservative Party of Canada.
- F. None of above. chosen
Provenance (5 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebd093c81909a50f1119e284069 |
completed | April 20, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f25cc54c819096b3cac034630990 |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f375f2d4819084f53e73f9573ee8 |
completed | May 15, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f45351208190988e70cf325f554f |
completed | May 15, 2026, 10:24 a.m. |
Created at: April 10, 2026, 12:06 p.m.