Triple
T9201211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman H. Nie |
E220841
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Sidney Verba |
E41575
|
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: Sidney Verba | Statement: [Norman H. Nie, coAuthor, Sidney Verba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Verba Context triple: [Norman H. Nie, coAuthor, Sidney Verba]
-
A.
Sidney Verba
chosen
Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
-
B.
Sidney Buchman
Sidney Buchman was an American screenwriter and producer best known for his work in Hollywood during the 1930s–1950s, including notable collaborations with major studios and directors.
-
C.
Melville Shavelson
Melville Shavelson was an American film director, screenwriter, and producer best known for his work on mid-20th-century Hollywood comedies and dramas.
-
D.
Charles Schoenbaum
Charles Schoenbaum was an American cinematographer known for his work on numerous Hollywood films during the mid-20th century.
-
E.
Harold L. Mohr
Harold L. Mohr, better known as Hal Mohr, was an American cinematographer renowned for his innovative camera work and for being the only write-in Academy Award winner in Oscar history.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9429b448190a078e9cdfedd4918 |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1820133348190a25ba1ab3fc7359d |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:25 p.m.