Triple
T19742350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert E. Cushman Jr. |
E474157
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cushman |
—
|
NE NERFINISHED |
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: Cushman | Statement: [Robert E. Cushman Jr., familyName, Cushman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cushman Context triple: [Robert E. Cushman Jr., familyName, Cushman]
-
A.
Cushman
chosen
Cushman is a masculine given name most notably borne by Cushman K. Davis, a 19th-century American politician and U.S. Senator from Minnesota.
-
B.
Taubman
Taubman is a surname most prominently associated with A. Alfred Taubman, the influential American real estate developer and philanthropist known for pioneering the modern shopping mall.
-
C.
Higginbotham
Higginbotham is the married surname of Renée Dwyer, a character from Stephenie Meyer’s Twilight series.
-
D.
Tishman
Tishman is a prominent American real estate family name associated with major development and construction firms, particularly in New York City.
-
E.
Crouse
Crouse is a surname most notably associated with American actress Lindsay Crouse and her family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65162382081909bd5a251d7da7f75 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.