Triple
T20453121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fear Street Part One: 1994 |
E501704
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Josh Johnson |
—
|
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: Josh Johnson | Statement: [Fear Street Part One: 1994, mainCharacter, Josh Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Johnson Context triple: [Fear Street Part One: 1994, mainCharacter, Josh Johnson]
-
A.
Josh Johnson
chosen
Josh Johnson is a key character in the Fear Street horror film trilogy, serving as Deena's tech-savvy younger brother who helps uncover the truth behind the Shadyside curse.
-
B.
Wade Johnson
Wade Johnson is a fictional character from the 1997 family comedy film "Cooties."
-
C.
Stefan Johnson
Stefan Johnson is a writer known for his work on the film "Daisies."
-
D.
Stefan Johnson
Stefan Johnson is a music producer best known as a member of the production duo Sick Boy.
-
E.
Joshua Smith
Joshua Smith is one of the two charming outlaw protagonists in the Western television series "Alias Smith and Jones," known for trying to go straight while on the run from the law.
- 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.