Triple
T10392138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Message in a Bottle |
E244918
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jim Wilson |
E478297
|
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: Jim Wilson | Statement: [Message in a Bottle, producer, Jim Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Wilson Context triple: [Message in a Bottle, producer, Jim Wilson]
-
A.
Jim Wilson
Jim Wilson is a film producer best known for his work on the hit 1992 romantic thriller "The Bodyguard."
-
B.
Jim Wilson
Jim Wilson is an American film producer best known for his Academy Award–winning work on the 1990 Western epic "Dances with Wolves."
-
C.
Jim Wilson
chosen
Jim Wilson is a film producer best known for his work on the 1994 Western biographical film "Wyatt Earp."
-
D.
Mike Wilson
Mike Wilson is known as the father of former child actress and writer Mara Wilson.
-
E.
Jo Wilson
Jo Wilson is a fictional surgical doctor on the television series Grey’s Anatomy, known for her complex personal history and evolving relationships at Grey Sloan Memorial Hospital.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b5b43081908641a5abfb08dc2b |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795c0253c8190b6141ccb90fd1b7e |
completed | April 9, 2026, 12:04 p.m. |
Created at: April 6, 2026, 12:06 p.m.