Triple
T11279931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry |
E267035
|
entity |
| Predicate | filmRecognition |
P93632
|
FINISHED |
| Object | AFI 100 Years...100 Laughs list via Some Like It Hot |
—
|
LITERAL 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: AFI 100 Years...100 Laughs list via Some Like It Hot | Statement: [Jerry, filmRecognition, AFI 100 Years...100 Laughs list via Some Like It Hot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmRecognition Context triple: [Jerry, filmRecognition, AFI 100 Years...100 Laughs list via Some Like It Hot]
-
A.
cinemaRecognition
chosen
Indicates that one entity acknowledges, identifies, or gives formal recognition to another within the context of cinema (e.g., films, filmmakers, or cinematic achievements).
-
B.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
C.
filmType
Indicates the specific category or genre that a film belongs to.
-
D.
filmMovement
Indicates the cinematic movement or stylistic school with which a film is associated.
-
E.
film
Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e969b3448190940e2bd499d2d7de |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.