Triple
T5317421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Potter |
E121584
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Arnold Messer |
E408676
|
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: Arnold Messer | Statement: [Miss Potter, producer, Arnold Messer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnold Messer Context triple: [Miss Potter, producer, Arnold Messer]
-
A.
Arnold Messer
chosen
Arnold Messer is a film producer best known for his work on the crime thriller "Zodiac."
-
B.
Arnold W. Messer
Arnold W. Messer is a film producer known for his work on notable movies including the psychological thriller "Black Swan."
-
C.
Arnold Schlaet
Arnold Schlaet was an American businessman best known as a co-founder of the oil company that became Texaco.
-
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.
Arnold Kopelson
Arnold Kopelson was an American film producer best known for his work on acclaimed Hollywood dramas and thrillers, including the Oscar-winning war film "Platoon."
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd855269ac8190bb7a9248d04f1823 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1111f104819094d7646dec32fad2 |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:59 p.m.