Triple
T38363504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Lange as Leigh Bowden |
E892360
|
entity |
| Predicate | remakeOfWork |
P188290
|
FINISHED |
| Object | Cape Fear (1962 film) |
—
|
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: Cape Fear (1962 film) | Statement: [Jessica Lange as Leigh Bowden, remakeOfWork, Cape Fear (1962 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remakeOfWork Context triple: [Jessica Lange as Leigh Bowden, remakeOfWork, Cape Fear (1962 film)]
-
A.
remakeOfFilmBy
Indicates that one film is a remake created by a specific filmmaker or director of an earlier film.
-
B.
filmRemakeOf
chosen
Indicates that one film is a remake of another earlier film, typically retelling the same or a very similar story.
-
C.
hasRemake
Indicates that one work is a new version or recreation of an earlier existing work.
-
D.
reusedInRemake
Indicates that an element from an original work (such as a scene, character, or plot device) is used again in its remake.
-
E.
remadeFor
Indicates that one work has been recreated or adapted specifically for another context, audience, or medium.
- F. None of above.
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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:31 p.m.