Triple
T12064455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy R. Neuberger |
E287258
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Roy R. Neuberger |
E287258
|
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: Roy R. Neuberger | Statement: [Roy R. Neuberger, name, Roy R. Neuberger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy R. Neuberger Context triple: [Roy R. Neuberger, name, Roy R. Neuberger]
-
A.
Roy R. Neuberger
chosen
Roy R. Neuberger was an American financier, philanthropist, and prominent modern art collector who played a key role in supporting and promoting 20th-century artists.
-
B.
Milton J. Rubenstein
Milton J. Rubenstein was a philanthropist and prominent supporter of science and technology education, for whom the Museum of Science and Technology in Syracuse, New York is named.
-
C.
Larry A. Lebofsky
Larry A. Lebofsky is an American astronomer known for his work in planetary science and the study of ring systems around planets.
-
D.
Frank E. Seidman
Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
-
E.
Kenneth Posner
Kenneth Posner is a prominent American theatrical lighting designer known for his work on numerous Broadway productions.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db383cc8190b1c65d202785838a |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 8, 2026, 9:48 p.m.