Triple
T10890739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Booksmart |
E257165
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Katie Silberman |
E257165
|
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: Katie Silberman | Statement: [Booksmart, screenwriter, Katie Silberman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Silberman Context triple: [Booksmart, screenwriter, Katie Silberman]
-
A.
Katie Silberman
chosen
Katie Silberman is an American screenwriter and producer known for her work on contemporary female-driven films such as "Booksmart" and "Don't Worry Darling."
-
B.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
-
C.
Sarah Kirsch
Sarah Kirsch was an influential American punk guitarist and songwriter known for her work in several seminal Bay Area punk and hardcore bands.
-
D.
Lauren Schuker Blum
Lauren Schuker Blum is an American journalist and screenwriter known for her work in entertainment reporting and film and television writing.
-
E.
Lauren Resnick
Lauren Resnick is an American educational psychologist known for her influential research on learning, cognition, and the design of effective educational practices.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7520550c4819081296546c8f534f1 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15500bb7881908b9799d7653aec72 |
completed | April 16, 2026, 9:30 p.m. |
Created at: April 8, 2026, 9:21 p.m.