Triple
T5085624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Eternal Sea |
E114630
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John H. Auer |
E505821
|
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 H. Auer | Statement: [The Eternal Sea, producer, John H. Auer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John H. Auer Context triple: [The Eternal Sea, producer, John H. Auer]
-
A.
John H. Auer
chosen
John H. Auer was a Hungarian-American film director and producer known for his work on mid-20th-century Hollywood dramas and crime films.
-
B.
Thomas Ehrlich
Thomas Ehrlich is an American legal scholar and academic administrator known for serving as president of Indiana University and for his work promoting civic engagement in higher education.
-
C.
Benjamin Eichelbaum
Benjamin Eichelbaum is the son of film mogul Jack Warner, co-founder of Warner Bros.
-
D.
Werner R. Heymann
Werner R. Heymann was a German composer best known for his sophisticated film scores in Hollywood’s Golden Age, particularly for classic comedies and romances.
-
E.
Louis Loeffler
Louis Loeffler was an American film editor active during Hollywood’s studio era, known for his work on numerous major 20th Century Fox 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd751db4f4819088b998d7af0e6f41 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe4e829c819092acbc078e552d75 |
completed | March 21, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:40 p.m.