Triple
T11467679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munich (2005 film) |
E271818
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Barry Mendel |
E271299
|
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: Barry Mendel | Statement: [Munich (2005 film), producer, Barry Mendel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barry Mendel Context triple: [Munich (2005 film), producer, Barry Mendel]
-
A.
Barry Mendel
chosen
Barry Mendel is an American film producer known for acclaimed movies such as "The Sixth Sense," "Rushmore," and "Bridesmaids."
-
B.
Barry Detweiler
Barry Detweiler is a fictional character appearing in the Fedora universe, contributing to its narrative and thematic development.
-
C.
Alan Siegel
Alan Siegel is a film producer best known for his long-running collaboration with actor Gerard Butler on action and thriller movies.
-
D.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
-
E.
Dan Grossman
Dan Grossman is a computer scientist and professor known for his work in programming languages and software engineering.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9429a308190810b485708d28617 |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.