Triple
T10888392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Fear (1991 film) |
E257111
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Wesley Strick |
E825460
|
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: Wesley Strick | Statement: [Cape Fear (1991 film), screenwriter, Wesley Strick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wesley Strick Context triple: [Cape Fear (1991 film), screenwriter, Wesley Strick]
-
A.
Wesley Strick
chosen
Wesley Strick is an American screenwriter best known for his work on films such as "Cape Fear," "Arachnophobia," and "Wolf."
-
B.
Tom Hiel
Tom Hiel is an American film and television composer known for scoring a variety of genre projects, including cult and horror films.
-
C.
Christopher Landon
Christopher Landon is an American film director, screenwriter, and producer best known for his work on the "Paranormal Activity" series and the "Happy Death Day" films.
-
D.
Andrew Kevin Walker
Andrew Kevin Walker is an American screenwriter best known for writing the dark thriller "Se7en" and contributing to films such as "Sleepy Hollow."
-
E.
Peter Hyams
Peter Hyams is an American filmmaker known for directing and often writing and shooting genre films such as science fiction thrillers and action movies.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75202b7248190adeb5780fc5b9199 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373f38cfc8190977d1a59c31dac5f |
completed | April 18, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:21 p.m.