Triple
T21448653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That Night |
E529144
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Craig Bolotin |
—
|
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: Craig Bolotin | Statement: [That Night, director, Craig Bolotin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Bolotin Context triple: [That Night, director, Craig Bolotin]
-
A.
Craig Bolotin
chosen
Craig Bolotin is an American screenwriter and film director known for his work on several Hollywood dramas and adaptations.
-
B.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
C.
Neil Baczynsky
Neil Baczynsky is a central student character in the 2009 musical drama film "Fame," portrayed as an aspiring performer navigating the challenges of a prestigious performing arts high school.
-
D.
Ray Shostak
Ray Shostak is a British public policy and performance management expert known for his leadership roles in government, including directing initiatives to improve public service delivery.
-
E.
Nick Wasicsko
Nick Wasicsko was a young Yonkers, New York mayor known for his pivotal and contentious role in implementing federally mandated public housing desegregation in the late 1980s.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.