Triple
T3681362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broken Flowers |
E78118
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jim Jarmusch |
E115999
|
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 Jarmusch | Statement: [Broken Flowers, producer, Jim Jarmusch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Jarmusch Context triple: [Broken Flowers, producer, Jim Jarmusch]
-
A.
Jim Jarmusch
chosen
Jim Jarmusch is an American independent filmmaker known for his minimalist style, deadpan humor, and cult classics such as "Stranger Than Paradise," "Dead Man," and "Ghost Dog: The Way of the Samurai."
-
B.
Gus Van Sant
Gus Van Sant is an American filmmaker known for his distinctive independent cinema style and acclaimed films such as "Good Will Hunting," "Milk," and "My Own Private Idaho."
-
C.
Abel Ferrara
Abel Ferrara is an American filmmaker known for his gritty, provocative crime dramas and cult classics such as "Bad Lieutenant" and "King of New York."
-
D.
Nicolas Winding Refn
Nicolas Winding Refn is a Danish filmmaker known for his stylish, ultra-violent films such as "Drive," "Bronson," and "Only God Forgives."
-
E.
Terrence Malick
Terrence Malick is an American filmmaker renowned for his visually poetic, philosophical films that often explore nature, memory, and spirituality.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc492aed481909e8986378ad283fc |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4daffd6bc81908ac7a4b8b4073bc0 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:25 p.m.