Triple
T23153191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart People |
E578372
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Noam Murro |
—
|
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: Noam Murro | Statement: [Smart People, director, Noam Murro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noam Murro Context triple: [Smart People, director, Noam Murro]
-
A.
Noam Murro
chosen
Noam Murro is an Israeli film director and commercial filmmaker best known for directing the action epic "300: Rise of an Empire" and the dramedy "Smart People."
-
B.
Noam Dromi
Noam Dromi is an American screenwriter and producer best known for co-writing the family film "Dolphin Tale" and for his work in digital media and entertainment innovation.
-
C.
Noah Tannenbaum
Noah Tannenbaum is a college student character in *The Sopranos* who briefly dates Meadow Soprano and is notable for his awkward interactions with her mob-connected family.
-
D.
Uriel Frisch
Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
-
E.
Nathan Resnick
Nathan Resnick is an American entrepreneur best known as the founder and CEO of Sourcify, a platform that helps companies streamline and manage their product manufacturing overseas.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.