Triple
T15996516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert M. Edsel |
E387979
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert M. Edsel |
E387979
|
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: Robert M. Edsel | Statement: [Robert M. Edsel, name, Robert M. Edsel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert M. Edsel Context triple: [Robert M. Edsel, name, Robert M. Edsel]
-
A.
Robert M. Edsel
chosen
Robert M. Edsel is an American author and historian best known for his works documenting the Monuments Men and the Allied efforts to protect and recover art during World War II.
-
B.
Edgar M. Kahn
Edgar M. Kahn was an American neurosurgeon and academic known for his contributions to the development of neurosurgical techniques and education in the mid-20th century.
-
C.
Robert S. Taubman
Robert S. Taubman is an American real estate executive best known for leading the Taubman Company, a major developer and operator of shopping malls.
-
D.
Raymond F. Kravis
Raymond F. Kravis was an American businessman and philanthropist whose support for the arts led to major cultural institutions bearing his name.
-
E.
Irving Glassberg
Irving Glassberg was a Polish-born American cinematographer known for his work on numerous Universal Pictures films in the 1940s and 1950s.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157882ef0819081143e530bd6413c |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d79dec8190b02e003f93e5dad6 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.