Triple
T15150295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. S. Van Dyke |
E361919
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Love Crazy |
E1140928
|
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: Love Crazy | Statement: [W. S. Van Dyke, directed, Love Crazy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Crazy Context triple: [W. S. Van Dyke, directed, Love Crazy]
-
A.
Love Crazy
chosen
Love Crazy is a 1941 screwball comedy film starring William Powell and Myrna Loy, known for its zany marital mix-ups and rapid-fire wit.
-
B.
So Crazy
"So Crazy" is a song by Nigerian artist Davido, featuring American singer Lil Baby, known for its blend of Afrobeats and trap influences.
-
C.
So Crazy
"So Crazy" is a song best known as a 2003 R&B hit by Beyoncé featuring Jay-Z from her debut solo album "Dangerously in Love."
-
D.
Crazy Love
Crazy Love is a soulful ballad by Van Morrison, celebrated for its tender lyrics and smooth, romantic melody.
-
E.
Crazy Love
Crazy Love is a documentary film best known for its bizarre and unsettling real-life love story, directed by actor and filmmaker Fisher Stevens.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c934048190afac78a8023a544a |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88419108190860319a9bcab1eef |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:07 a.m.