Triple
T20453114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fear Street Part One: 1994 |
E501704
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Rachel Katz |
—
|
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: Rachel Katz | Statement: [Fear Street Part One: 1994, editedBy, Rachel Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Katz Context triple: [Fear Street Part One: 1994, editedBy, Rachel Katz]
-
A.
Rachel Katz
chosen
Rachel Katz is a film editor known for her work on the horror movie "Fear Street Part Two: 1978."
-
B.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
C.
Natasha Katz
Natasha Katz is a renowned American lighting designer celebrated for her work on numerous Broadway productions and other major theatrical and live entertainment projects.
-
D.
Rachel Taub
Rachel Taub is a fictional character from the medical drama series "House," known as the wife of Dr. Chris Taub.
-
E.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.