Triple
T7260365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John J. Raskob |
E159633
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Raskob |
E159633
|
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: Raskob | Statement: [John J. Raskob, familyName, Raskob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raskob Context triple: [John J. Raskob, familyName, Raskob]
-
A.
Raskob
chosen
Raskob is a surname most notably associated with John J. Raskob, the American businessman and key figure behind the development of the Empire State Building.
-
B.
Genrikh
Genrikh is a masculine given name of Russian origin, notably borne by Soviet secret police chief Genrikh Yagoda.
-
C.
Anna Korvin-Krukovskaya
Anna Korvin-Krukovskaya was a Russian writer and revolutionary socialist known for her involvement in radical political circles in the 19th century.
-
D.
Brezhneva
Brezhneva is a Russian surname most notably borne by Viktoria Brezhneva, the wife of Soviet leader Leonid Brezhnev.
-
E.
Vyacheslav
Vyacheslav is a masculine given name of Slavic origin, most notably borne by Soviet politician Vyacheslav Molotov.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac5311c819094fc6880f3152813 |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3bda4808190810f2d170cb693b9 |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:57 p.m.