Triple
T19505009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slums of Beverly Hills |
E487999
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Nozik |
—
|
NE NERFINISHED |
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: Michael Nozik | Statement: [Slums of Beverly Hills, producer, Michael Nozik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Nozik Context triple: [Slums of Beverly Hills, producer, Michael Nozik]
-
A.
Michael Nozik
chosen
Michael Nozik is an American film producer known for his work on acclaimed dramas and international co-productions, including the geopolitical thriller "Syriana."
-
B.
Michael Hecht
Michael Hecht is a scientist best known for leading NASA’s MOXIE experiment on the Perseverance rover, which demonstrates in-situ oxygen production on Mars.
-
C.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
-
D.
Eli Yablonovitch
Eli Yablonovitch is an American physicist and engineer renowned as a pioneer of photonic crystals and a leading figure in the field of photonics and optoelectronics.
-
E.
Stephen Mazur
Stephen Mazur is a creator known for his work associated with Samantha Cole.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.