Triple
T2924280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MONA (Museum of Old and New Art) |
E78805
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | David Walsh |
E312510
|
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: David Walsh | Statement: [MONA (Museum of Old and New Art), owner, David Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Walsh Context triple: [MONA (Museum of Old and New Art), owner, David Walsh]
-
A.
David Walsh
chosen
David Walsh is an Australian professional gambler, art collector, and entrepreneur best known as the founder of Hobart’s provocative Museum of Old and New Art (MONA).
-
B.
David M. Walsh
David M. Walsh is an American cinematographer known for his work on numerous films, particularly comedies, during the 1970s and 1980s.
-
C.
Walter Kennedy
Walter Kennedy was a Scottish makar (poet) of the late 15th and early 16th centuries, best known for his participation in the famous poetic contest with William Dunbar.
-
D.
James T. Walsh
James T. Walsh is an American Republican politician who represented a central New York district in the U.S. House of Representatives for two decades.
-
E.
Michael H. Moloney
Michael H. Moloney is a physics-focused science policy and leadership professional who serves as the chief executive officer of the American Institute of Physics.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97bf2df88190bd4f1e90d4656507 |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc632afc819098021312c748346b |
completed | March 11, 2026, 5:23 a.m. |
Created at: March 8, 2026, 2:55 p.m.