Triple
T11405002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmer Gantry |
E270213
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | John F. Seitz |
E357775
|
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: John F. Seitz | Statement: [Elmer Gantry, cinematographyBy, John F. Seitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John F. Seitz Context triple: [Elmer Gantry, cinematographyBy, John F. Seitz]
-
A.
John F. Seitz
chosen
John F. Seitz was a prominent American cinematographer best known for his influential work in early Hollywood and on classic film noirs such as Double Indemnity and Sunset Boulevard.
-
B.
William A. Seiter
William A. Seiter was an American film director best known for his work on Hollywood comedies and musicals from the silent era through the 1950s.
-
C.
Ronald A. Rittenmeyer
Ronald A. Rittenmeyer is an American business executive known for leading major corporations, including serving in top leadership roles at Electronic Data Systems and later at Tenet Healthcare.
-
D.
John A. Knebel
John A. Knebel is an American lawyer and government official who served as United States Secretary of Agriculture in the 1970s.
-
E.
William R. Schowalter
William R. Schowalter is an American chemical engineer and fluid dynamicist renowned for his pioneering contributions to non-Newtonian fluid mechanics and transport phenomena.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014c820c81908538ba4a08e13230 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170d8c9f0819099a398814f49f0ed |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 8, 2026, 9:34 p.m.