Triple
T20248531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fear Street Part Two: 1978 |
E498488
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Rachel Katz
Rachel Katz is a film editor known for her work on the horror movie "Fear Street Part Two: 1978."
|
E1442212
|
NE FINISHED |
How this triple was built (4 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 Two: 1978, editedBy, Rachel Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Katz Context triple: [Fear Street Part Two: 1978, editedBy, Rachel Katz]
-
A.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
B.
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.
-
C.
Rachel Taub
Rachel Taub is a fictional character from the medical drama series "House," known as the wife of Dr. Chris Taub.
-
D.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
-
E.
Kate Schechter
Kate Schechter is a central character in Douglas Adams's novel "The Long Dark Tea-Time of the Soul," an American living in London who becomes entangled in a bizarre mystery involving Norse gods and the holistic detective Dirk Gently.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rachel Katz Triple: [Fear Street Part Two: 1978, editedBy, Rachel Katz]
Generated description
Rachel Katz is a film editor known for her work on the horror movie "Fear Street Part Two: 1978."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Katz Target entity description: Rachel Katz is a film editor known for her work on the horror movie "Fear Street Part Two: 1978."
-
A.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
B.
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.
-
C.
Rachel Taub
Rachel Taub is a fictional character from the medical drama series "House," known as the wife of Dr. Chris Taub.
-
D.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
-
E.
Kate Schechter
Kate Schechter is a central character in Douglas Adams's novel "The Long Dark Tea-Time of the Soul," an American living in London who becomes entangled in a bizarre mystery involving Norse gods and the holistic detective Dirk Gently.
- F. None of above. chosen
Provenance (5 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c5707cb081908232dc398f7574cc |
completed | May 16, 2026, 7:28 p.m. |
| NEDg | Description generation | batch_6a08c5e61e608190b0d6a7ec415658dd |
completed | May 16, 2026, 7:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c64d463c81909cfd2aabec65397d |
completed | May 16, 2026, 7:32 p.m. |
Created at: April 11, 2026, 11:41 p.m.